University of Kansas Health System
Liberty, Missouri
Job Description Position Title Network Engineer II Liberty Hospital Position Summary / Career Interest: The Network Engineer II is part of the network infrastructure team that is responsible for design, administration, and support for our enterprise infrastructure operations. This Engineer plans and implements local and wide-area network solutions between multiple platforms and protocols and supports/troubleshoots network issues while providing level I support. The Network Engineer II conducts short term planning to meet network requirements and network growth. Assesses network performance to ensure it meets present and future needs of the business and provides network planning and recommendations to management. This Engineer ensures the stability and integrity of The University of Kansas Hospital's enterprise data, voice, and wireless network while assisting level III engineers in the enterprise wide network development and design. Responsibilities and Essential Job Functions Designs LAN, Campus and WAN infrastructure for data, voice, and wireless services following industry standards and best practices to ensure high availability and scalability through network design principals. Assists level III's in advanced level design, development, installation, administration, and maintenance of the enterprise network. Performs as a subject matter expert (SME) providing 2nd level support for all network operations performance engineering, implementation planning, deployment support, network security and capacity related incidents. Responsible for maintaining service availability of mission critical services ensuring 24/7/365 uptime of network systems. Collaborates with other network engineers on supporting the network infrastructure design and development to ensure stability and high availability of critical medical systems. Monitors network performance and capacity utilizing network tools and system logs and proactively resolves any issues. Maintains documentation including networking diagrams and network services descriptions for the WAN and LAN network. Develop and write processes and procedures for installation and configuration of network systems or troubleshooting of network communications hardware or software. Plays a primary role mentoring level I network engineers in technical design, capacity planning, and network security. Works in a mentor role with co-workers to provide on job training for a more stable environment. Mentors level I engineers to develop their knowledge base. Demonstrates the ability to implement new technologies. Extensive hands on support of network routers, switches, and wireless controllers. Implements new approaches and shares technical improvements to the Network Manager. Displays advanced knowledge and understanding of networking protocols and technologies including IP, BGP, OSPF, EIGRP and technologies including Switching, Routing, Wireless and Security in a multi data center design and development network environment. Acts as escalation contact for level I working on complex network break/fix and/or maintenance assignments related to network access, capacity or performance. Keeps abreast and informed of current IT technologies and new trends in the industry by attending vendor training and product launch events. Ensures approved procedures, policies, and industry best practices are followed. Adheres to departmental policies and procedures. Monitors and executes in line with department change control processes. Must be able to perform the professional, clinical and or technical competencies of the assigned unit or department. These statements are intended to describe the essential functions of the job and are not intended to be an exhaustive list of all responsibilities. Skills and duties may vary dependent upon your department or unit. Other duties may be assigned as required. Required Education and Experience High School Graduate 5 or more years experience in network administration (in a multi-site organization is preferred) including hands-on experience one or more of the following: Network device configuration and management; routing protocols, data center connectivity, and network hardware installation. Preferred Education and Experience Bachelors Degree in Information Technology or related field Preferred Licensure and Certification CCNP/CCDP Cisco Certified Network Associates ITIL Foundation Time Type: Full time Job Requisition ID: R-53501 Important information for you to know as you apply: The health system is an equal employment opportunity employer. Qualified applicants are considered for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, ancestry, age, disability, veteran status, genetic information, or any other legally-protected status. See also Diversity, Equity & Inclusion. The health system provides reasonable accommodations to qualified individuals with disabilities. If you need to request reasonable accommodations for your disability as you navigate the recruitment process, please let our recruiters know by requesting an Accommodation Request form using this link . Employment with the health system is contingent upon, among other things, agreeing to the health-system-dispute-resolution-program.pdf and signing the agreement to the DRP. Need help finding the right job? We can recommend jobs specifically for you! Create a custom Job Alert by selecting criteria that suit your career interests.
08/04/2026
Full time
Job Description Position Title Network Engineer II Liberty Hospital Position Summary / Career Interest: The Network Engineer II is part of the network infrastructure team that is responsible for design, administration, and support for our enterprise infrastructure operations. This Engineer plans and implements local and wide-area network solutions between multiple platforms and protocols and supports/troubleshoots network issues while providing level I support. The Network Engineer II conducts short term planning to meet network requirements and network growth. Assesses network performance to ensure it meets present and future needs of the business and provides network planning and recommendations to management. This Engineer ensures the stability and integrity of The University of Kansas Hospital's enterprise data, voice, and wireless network while assisting level III engineers in the enterprise wide network development and design. Responsibilities and Essential Job Functions Designs LAN, Campus and WAN infrastructure for data, voice, and wireless services following industry standards and best practices to ensure high availability and scalability through network design principals. Assists level III's in advanced level design, development, installation, administration, and maintenance of the enterprise network. Performs as a subject matter expert (SME) providing 2nd level support for all network operations performance engineering, implementation planning, deployment support, network security and capacity related incidents. Responsible for maintaining service availability of mission critical services ensuring 24/7/365 uptime of network systems. Collaborates with other network engineers on supporting the network infrastructure design and development to ensure stability and high availability of critical medical systems. Monitors network performance and capacity utilizing network tools and system logs and proactively resolves any issues. Maintains documentation including networking diagrams and network services descriptions for the WAN and LAN network. Develop and write processes and procedures for installation and configuration of network systems or troubleshooting of network communications hardware or software. Plays a primary role mentoring level I network engineers in technical design, capacity planning, and network security. Works in a mentor role with co-workers to provide on job training for a more stable environment. Mentors level I engineers to develop their knowledge base. Demonstrates the ability to implement new technologies. Extensive hands on support of network routers, switches, and wireless controllers. Implements new approaches and shares technical improvements to the Network Manager. Displays advanced knowledge and understanding of networking protocols and technologies including IP, BGP, OSPF, EIGRP and technologies including Switching, Routing, Wireless and Security in a multi data center design and development network environment. Acts as escalation contact for level I working on complex network break/fix and/or maintenance assignments related to network access, capacity or performance. Keeps abreast and informed of current IT technologies and new trends in the industry by attending vendor training and product launch events. Ensures approved procedures, policies, and industry best practices are followed. Adheres to departmental policies and procedures. Monitors and executes in line with department change control processes. Must be able to perform the professional, clinical and or technical competencies of the assigned unit or department. These statements are intended to describe the essential functions of the job and are not intended to be an exhaustive list of all responsibilities. Skills and duties may vary dependent upon your department or unit. Other duties may be assigned as required. Required Education and Experience High School Graduate 5 or more years experience in network administration (in a multi-site organization is preferred) including hands-on experience one or more of the following: Network device configuration and management; routing protocols, data center connectivity, and network hardware installation. Preferred Education and Experience Bachelors Degree in Information Technology or related field Preferred Licensure and Certification CCNP/CCDP Cisco Certified Network Associates ITIL Foundation Time Type: Full time Job Requisition ID: R-53501 Important information for you to know as you apply: The health system is an equal employment opportunity employer. Qualified applicants are considered for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, ancestry, age, disability, veteran status, genetic information, or any other legally-protected status. See also Diversity, Equity & Inclusion. The health system provides reasonable accommodations to qualified individuals with disabilities. If you need to request reasonable accommodations for your disability as you navigate the recruitment process, please let our recruiters know by requesting an Accommodation Request form using this link . Employment with the health system is contingent upon, among other things, agreeing to the health-system-dispute-resolution-program.pdf and signing the agreement to the DRP. Need help finding the right job? We can recommend jobs specifically for you! Create a custom Job Alert by selecting criteria that suit your career interests.
The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Lead Specialist to join our Federal Advisory practice. Responsibilities: Lead the design, development, and deployment of secure, multi-cloud and hybrid environments, ensuring all architectures are in strict accordance with Zero Trust principals and aligned with the DoD Architecture Provide subject matter expertise on federal cybersecurity regulations, including the NIST Risk Management Framework (RMF), CMMC, and FedRAMP, ensuring solutions are secure and compliant by design Build, mentor, and lead a team of cybersecurity and cloud engineerings Provide hands-on technical guidance across core infrastructure domains Architect and implement advanced enterprise networking, virtualization, and containerization (e.g., Kupernetes, Docker) strategies to support secure, scalable, and resilient application deployments Interface directly with senior federal clients, translating complex mission requirements into robust, scalable, and resilient technical solutions Articulate complex technical concepts to both technical and non-technical stakeholders Qualifications: A minimum of five years of experience in systems engineering, cybersecurity, or enterprise architecture; U.S. Federal government consulting experience preferred Bachelor's degree from an accredited college/university; Master's degree preferred Experience with Identity, Credential, and Access Management (ICAM) solutions and architectures ICAM Solutions certification preferred (e.g. Okta, Sailpoint, Ping, CyberArk) Deep technical expertise in Microsoft Azure services, security controls, and government-specific environments (e.g. Azure Government) Hands-on expertise with a broad range of Zero Trust-enabling technologies such as SASE, micro-segmentation, software-defined networking, or advanced endpoint protection Experience designing and securing large-scale container orchestration platforms and complex virtualized data centers Ability to travel as required to support firm engagements Applicant must possess a U.S. Government Secret clearance KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work . Follow this link to obtain salary ranges by city outside of CA: KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
08/04/2026
Full time
The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Lead Specialist to join our Federal Advisory practice. Responsibilities: Lead the design, development, and deployment of secure, multi-cloud and hybrid environments, ensuring all architectures are in strict accordance with Zero Trust principals and aligned with the DoD Architecture Provide subject matter expertise on federal cybersecurity regulations, including the NIST Risk Management Framework (RMF), CMMC, and FedRAMP, ensuring solutions are secure and compliant by design Build, mentor, and lead a team of cybersecurity and cloud engineerings Provide hands-on technical guidance across core infrastructure domains Architect and implement advanced enterprise networking, virtualization, and containerization (e.g., Kupernetes, Docker) strategies to support secure, scalable, and resilient application deployments Interface directly with senior federal clients, translating complex mission requirements into robust, scalable, and resilient technical solutions Articulate complex technical concepts to both technical and non-technical stakeholders Qualifications: A minimum of five years of experience in systems engineering, cybersecurity, or enterprise architecture; U.S. Federal government consulting experience preferred Bachelor's degree from an accredited college/university; Master's degree preferred Experience with Identity, Credential, and Access Management (ICAM) solutions and architectures ICAM Solutions certification preferred (e.g. Okta, Sailpoint, Ping, CyberArk) Deep technical expertise in Microsoft Azure services, security controls, and government-specific environments (e.g. Azure Government) Hands-on expertise with a broad range of Zero Trust-enabling technologies such as SASE, micro-segmentation, software-defined networking, or advanced endpoint protection Experience designing and securing large-scale container orchestration platforms and complex virtualized data centers Ability to travel as required to support firm engagements Applicant must possess a U.S. Government Secret clearance KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work . Follow this link to obtain salary ranges by city outside of CA: KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Hi, Hope you are doing well. We have a full time opportunity with one of our major clients. They are looking for Cribl Engineer Expert role. Position: Cribl Engineer Expert Location:, Reston, VA, (5 Days Onsite) Duration: full time opportunity Required: TS/SCI clearance with the ability to obtain a counterintelligence (CI) polygraph. Job Description: Job Summary: We are seeking a highly experienced Cribl Engineer to serve as the principal technical authority for observability pipelines built on Cribl Stream and Cribl Edge. This role is designed for a senior technologist with deep expertise in log/telemetry routing, large-scale data engineering, and enterprise-grade observability architectures. You will shape pipeline strategy, design complex routing and transformation logic, drive platform reliability, mentor senior engineers, and serve as the top technical escalation point for Cribl-related challenges. Key Responsibilities: Lead architecture and design for Cribl Stream/Edge across multiple enclaves and data domains. Build high throughput pipelines (multiTB/day) with advanced routing, filtering, enrichment, and replay workflows. Optimize system performance, worker topology, CPU/memory distribution, queues, and transport mechanisms. Engineer secure data flows with masking, tokenization, RBAC, PKI/TLS, and other governance controls. Integrate pipelines with SIEM/analytics ecosystems (Splunk, Elastic, SaaS telemetry platforms, cloud services). Develop HA/DR patterns, reliability frameworks, fleet health metrics, and failure mode response processes. Maintain reusable Cribl packs, shared patterns, runbooks, and operational standards. Serve as the senior escalation point for Cribl issues; interface with vendor engineering as required. Mentor engineers, conduct design reviews, drive engineering excellence, and enforce architectural standards. Support cross functional teams (security, cloud, analytics, infrastructure) on logging and telemetry strategy. Required Qualifications: 10+ years of experience in logging, observability, or SIEM engineering. 5+ years architecting enterprise scale log/telemetry pipelines. 3+ years hands-on with Cribl Stream and Cribl Edge in production environments. Demonstrated success operating and scaling pipelines at 5-10+ TB/day. Expert-level experience with Splunk forwarding/ingestion, source type management, and indexing practices. Strong Linux fundamentals; scripting expertise (Python/Bash); Git; automation (Ansible/Terraform). Strong understanding of transport protocols (HTTP, TCP, TLS/MTLS), Kafka, S3/object storage. Experience designing secure data flows, including encryption, RBAC, secrets management, and compliance controls. Demonstrated ability to mentor senior engineers and lead technical decision making. Certified Cribl Certified Engineer (CCOE) or equivalent Cribl product expertise. Must possess the following DoD 8570.01-M certifications or be willing to obtain within 30 days of hire: Information Assurance Technician (IAT) Level II certification (currently Security+ CE, CCNA-Security, GSEC, SSCP, CySA+, GICSP, or CND). IAT Level III certification requirements (currently CASP+ CE, CCNP Security, CISA, CISSP (or Associate), GCED, or GCIH). Cyber Security Service Provider (CSSP) - Infrastructure Support (IS) certification requirements (currently CEH, CySA+, GICSP, SSCP, CHFI, CFR, Cloud+, or CND). Must possess a TS/SCI with Polygraph Preferred Qualifications: Expertise creating and maintaining Cribl Packs and reusable pipelines. Experience with cloud telemetry (AWS, Azure, hybrid) and cross-domain data movement patterns. Familiarity with NIST / CIS control frameworks and secure engineering practices. Experience building observability frameworks for large distributed systems. Vendor engagement experience (Cribl PS, product teams, troubleshooting escalations). Benefits: Competitive salary and performance-based bonuses. Comprehensive health, dental, and vision insurance. Opportunities for professional development and continuous learning.
08/04/2026
Full time
Hi, Hope you are doing well. We have a full time opportunity with one of our major clients. They are looking for Cribl Engineer Expert role. Position: Cribl Engineer Expert Location:, Reston, VA, (5 Days Onsite) Duration: full time opportunity Required: TS/SCI clearance with the ability to obtain a counterintelligence (CI) polygraph. Job Description: Job Summary: We are seeking a highly experienced Cribl Engineer to serve as the principal technical authority for observability pipelines built on Cribl Stream and Cribl Edge. This role is designed for a senior technologist with deep expertise in log/telemetry routing, large-scale data engineering, and enterprise-grade observability architectures. You will shape pipeline strategy, design complex routing and transformation logic, drive platform reliability, mentor senior engineers, and serve as the top technical escalation point for Cribl-related challenges. Key Responsibilities: Lead architecture and design for Cribl Stream/Edge across multiple enclaves and data domains. Build high throughput pipelines (multiTB/day) with advanced routing, filtering, enrichment, and replay workflows. Optimize system performance, worker topology, CPU/memory distribution, queues, and transport mechanisms. Engineer secure data flows with masking, tokenization, RBAC, PKI/TLS, and other governance controls. Integrate pipelines with SIEM/analytics ecosystems (Splunk, Elastic, SaaS telemetry platforms, cloud services). Develop HA/DR patterns, reliability frameworks, fleet health metrics, and failure mode response processes. Maintain reusable Cribl packs, shared patterns, runbooks, and operational standards. Serve as the senior escalation point for Cribl issues; interface with vendor engineering as required. Mentor engineers, conduct design reviews, drive engineering excellence, and enforce architectural standards. Support cross functional teams (security, cloud, analytics, infrastructure) on logging and telemetry strategy. Required Qualifications: 10+ years of experience in logging, observability, or SIEM engineering. 5+ years architecting enterprise scale log/telemetry pipelines. 3+ years hands-on with Cribl Stream and Cribl Edge in production environments. Demonstrated success operating and scaling pipelines at 5-10+ TB/day. Expert-level experience with Splunk forwarding/ingestion, source type management, and indexing practices. Strong Linux fundamentals; scripting expertise (Python/Bash); Git; automation (Ansible/Terraform). Strong understanding of transport protocols (HTTP, TCP, TLS/MTLS), Kafka, S3/object storage. Experience designing secure data flows, including encryption, RBAC, secrets management, and compliance controls. Demonstrated ability to mentor senior engineers and lead technical decision making. Certified Cribl Certified Engineer (CCOE) or equivalent Cribl product expertise. Must possess the following DoD 8570.01-M certifications or be willing to obtain within 30 days of hire: Information Assurance Technician (IAT) Level II certification (currently Security+ CE, CCNA-Security, GSEC, SSCP, CySA+, GICSP, or CND). IAT Level III certification requirements (currently CASP+ CE, CCNP Security, CISA, CISSP (or Associate), GCED, or GCIH). Cyber Security Service Provider (CSSP) - Infrastructure Support (IS) certification requirements (currently CEH, CySA+, GICSP, SSCP, CHFI, CFR, Cloud+, or CND). Must possess a TS/SCI with Polygraph Preferred Qualifications: Expertise creating and maintaining Cribl Packs and reusable pipelines. Experience with cloud telemetry (AWS, Azure, hybrid) and cross-domain data movement patterns. Familiarity with NIST / CIS control frameworks and secure engineering practices. Experience building observability frameworks for large distributed systems. Vendor engagement experience (Cribl PS, product teams, troubleshooting escalations). Benefits: Competitive salary and performance-based bonuses. Comprehensive health, dental, and vision insurance. Opportunities for professional development and continuous learning.
Southwest Research Institute - Fulltime
Dayton, Ohio
Who We Are: The Tactical Aerospace Department is a premier supplier for aerospace quality Complex Electronics on new and legacy DoW systems. This includes avionics, mission LRU's, flight worthy payloads, ground aerospace systems, and cutting edge third generation AI/ML for DoD platforms. This position is located on-site at either of our San Antonio, TX or Dayton (Beavercreek), OH facilities. Objectives of this Role: Responsible to develop System level and LRU Architectures. Lead the development of CONOPS, develop requirements, requirement allocation, and test. Guide multi-disciplinary engineering teams to develop hardware, firmware, and software for complex flight worthy avionics/mission LRU's/payload hardware. Interact directly with clients to establish system requirements and architectures to meet client expectations. Provide technical project leadership throughout each program. Must be willing to travel. Utilize Model Based Systems Engineering (MBSE) processes to support system designs/architectures. Support department management in specific technical marketing activities, proposal development of embedded systems, and in the development of product/technical roadmaps. Daily and Monthly Responsibilities: System Engineer over embedded avionics/aerospace programs. Lead a multi-disciplinary team to develop, integrate, and test embedded complex flight worthy systems. This includes electrical, mechanical, firmware, software, and AI/ML. Meet with internal and external customers to establish system technical requirements and facilitate development of specification documents and system architectures. Lead trade analyses within and across the relevant domains. Work with stakeholders to allocate functions to components/systems and develop those allocations into requirements for the engineers, designers, and managers to design, develop, integrate and test. Requirements: Requires a Bachelors degree in Electrical Engineering, Systems Engineering or equivalent engineering degree field with related experience. 10+ years: Experience developing, deriving, and allocating tiered Systems Engineering requirements in Avionics applications/LRU's. Broad, basic understanding of engineering activities/disciplines in avionics development (e.g. Systems, Hardware Development, Firmware, software, Integration, Testing, Bid and Proposal efforts, CONOPS, Qualification, Certification, System Safety, FMEA, Lab activities, etc). Experience developing CONOPS and System/LRU Architectures and basic/Intermediate experience with Model Based System Engineering (MBSE). A valid/clear driver's license is required.
08/04/2026
Full time
Who We Are: The Tactical Aerospace Department is a premier supplier for aerospace quality Complex Electronics on new and legacy DoW systems. This includes avionics, mission LRU's, flight worthy payloads, ground aerospace systems, and cutting edge third generation AI/ML for DoD platforms. This position is located on-site at either of our San Antonio, TX or Dayton (Beavercreek), OH facilities. Objectives of this Role: Responsible to develop System level and LRU Architectures. Lead the development of CONOPS, develop requirements, requirement allocation, and test. Guide multi-disciplinary engineering teams to develop hardware, firmware, and software for complex flight worthy avionics/mission LRU's/payload hardware. Interact directly with clients to establish system requirements and architectures to meet client expectations. Provide technical project leadership throughout each program. Must be willing to travel. Utilize Model Based Systems Engineering (MBSE) processes to support system designs/architectures. Support department management in specific technical marketing activities, proposal development of embedded systems, and in the development of product/technical roadmaps. Daily and Monthly Responsibilities: System Engineer over embedded avionics/aerospace programs. Lead a multi-disciplinary team to develop, integrate, and test embedded complex flight worthy systems. This includes electrical, mechanical, firmware, software, and AI/ML. Meet with internal and external customers to establish system technical requirements and facilitate development of specification documents and system architectures. Lead trade analyses within and across the relevant domains. Work with stakeholders to allocate functions to components/systems and develop those allocations into requirements for the engineers, designers, and managers to design, develop, integrate and test. Requirements: Requires a Bachelors degree in Electrical Engineering, Systems Engineering or equivalent engineering degree field with related experience. 10+ years: Experience developing, deriving, and allocating tiered Systems Engineering requirements in Avionics applications/LRU's. Broad, basic understanding of engineering activities/disciplines in avionics development (e.g. Systems, Hardware Development, Firmware, software, Integration, Testing, Bid and Proposal efforts, CONOPS, Qualification, Certification, System Safety, FMEA, Lab activities, etc). Experience developing CONOPS and System/LRU Architectures and basic/Intermediate experience with Model Based System Engineering (MBSE). A valid/clear driver's license is required.
Job Title: Lead LIMS Developer (Java & SAPIO LIMS) Overview / Summary We are seeking a Lead LIMS Developer to provide technical leadership for a new Laboratory Information Management System (LIMS) modernization initiative. During the first year, this position will primarily focus on the design and delivery of a new LIMS modernization program in its initial planning and discovery phase. The ideal candidate will bring strong thought leadership, strategic thinking, solution design expertise, and the ability to translate healthcare and laboratory operational needs into scalable technical solutions. This role will partner closely with laboratory operations, healthcare stakeholders, quality assurance, product owners, architects, and development teams to define the future-state LIMS environment. The Lead will guide technical design, establish development standards, evaluate solution options, conduct architecture and code reviews, and remain actively involved in hands-on development and problem resolution. Direct healthcare, laboratory, and LIMS experience is required. Key Responsibilities Lead the design, architecture, and implementation of SAPIO LIMS and/or LabVantage solutions. Translate laboratory and business requirements into scalable workflows, integrations, and data models. Design and optimize laboratory processes, including sample management, testing, results review, approvals, and exception handling. Architect integrations with laboratory instruments, healthcare systems, ELN, SDMS, CDS, and enterprise platforms. Develop and oversee APIs, microservices, custom configurations, business rules, and platform extensions. Establish technical standards, development best practices, and architecture governance. Conduct architecture reviews, code reviews, performance tuning, and technical quality assessments. Lead onshore and offshore engineering teams while mentoring developers and driving technical excellence. Ensure compliance with GxP, 21 CFR Part 11, ALCOA+, data integrity, security, and regulatory requirements. Support Computer System Validation (CSV) activities, including URS, FRS, Traceability, IQ/OQ/PQ, and audit readiness. Required Qualifications Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. 8+ years of software engineering or enterprise application development experience. Extensive Java development experience with Spring and Spring Boot. Strong hands-on experience with SAPIO LIMS and/or LabVantage. Experience with Python (Flask, Django, or FastAPI). Proven experience leading LIMS implementations, upgrades, or modernization programs. Experience in healthcare, clinical laboratory, diagnostics, pharmaceutical, or biotechnology environments. Expertise in REST APIs, microservices, system integrations, and backend architecture. Experience with AWS and/or Azure cloud platforms. Strong knowledge of SQL/NoSQL databases, data modeling, and enterprise integration patterns. Experience with architecture reviews, troubleshooting, root-cause analysis, and performance optimization. Knowledge of CSV, regulated SDLC practices, GxP, 21 CFR Part 11, and ALCOA+. Excellent communication, stakeholder management, and leadership skills. What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.
08/04/2026
Full time
Job Title: Lead LIMS Developer (Java & SAPIO LIMS) Overview / Summary We are seeking a Lead LIMS Developer to provide technical leadership for a new Laboratory Information Management System (LIMS) modernization initiative. During the first year, this position will primarily focus on the design and delivery of a new LIMS modernization program in its initial planning and discovery phase. The ideal candidate will bring strong thought leadership, strategic thinking, solution design expertise, and the ability to translate healthcare and laboratory operational needs into scalable technical solutions. This role will partner closely with laboratory operations, healthcare stakeholders, quality assurance, product owners, architects, and development teams to define the future-state LIMS environment. The Lead will guide technical design, establish development standards, evaluate solution options, conduct architecture and code reviews, and remain actively involved in hands-on development and problem resolution. Direct healthcare, laboratory, and LIMS experience is required. Key Responsibilities Lead the design, architecture, and implementation of SAPIO LIMS and/or LabVantage solutions. Translate laboratory and business requirements into scalable workflows, integrations, and data models. Design and optimize laboratory processes, including sample management, testing, results review, approvals, and exception handling. Architect integrations with laboratory instruments, healthcare systems, ELN, SDMS, CDS, and enterprise platforms. Develop and oversee APIs, microservices, custom configurations, business rules, and platform extensions. Establish technical standards, development best practices, and architecture governance. Conduct architecture reviews, code reviews, performance tuning, and technical quality assessments. Lead onshore and offshore engineering teams while mentoring developers and driving technical excellence. Ensure compliance with GxP, 21 CFR Part 11, ALCOA+, data integrity, security, and regulatory requirements. Support Computer System Validation (CSV) activities, including URS, FRS, Traceability, IQ/OQ/PQ, and audit readiness. Required Qualifications Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. 8+ years of software engineering or enterprise application development experience. Extensive Java development experience with Spring and Spring Boot. Strong hands-on experience with SAPIO LIMS and/or LabVantage. Experience with Python (Flask, Django, or FastAPI). Proven experience leading LIMS implementations, upgrades, or modernization programs. Experience in healthcare, clinical laboratory, diagnostics, pharmaceutical, or biotechnology environments. Expertise in REST APIs, microservices, system integrations, and backend architecture. Experience with AWS and/or Azure cloud platforms. Strong knowledge of SQL/NoSQL databases, data modeling, and enterprise integration patterns. Experience with architecture reviews, troubleshooting, root-cause analysis, and performance optimization. Knowledge of CSV, regulated SDLC practices, GxP, 21 CFR Part 11, and ALCOA+. Excellent communication, stakeholder management, and leadership skills. What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.
Our client, a major bank in New York City, is looking for Senior Solutions Architect Developer - Payment Systems (Director Level). New York City Location. This is hybrid commute, 2/3 days per week in the office. Must be authorized to work for ANY employer in US - NO H1 Visa support for this role Salary range 180 - 200K, plus around 20% bonus, plus great benefits package. Senior Solutions Architect Developer - Payment Systems and Customer Reporting. In this role you will be responsible for the design, development, and production support of modern web applications and digital platforms supporting banking customers. This role is a fully hands-on senior system developer with deep expertise in Angular-based front-end development, complemented by strong capabilities in back-end services, database design, and full-stack solution delivery. You will work closely with product, business, architecture, security, and infrastructure teams to build secure, scalable, and regulatory-compliant digital banking experiences. The role demands ownership of the end-to-end development lifecycle, including UI, APIs, data layer, and deployment artifacts, ensuring alignment with enterprise architecture standards and banking regulatory requirements. PRINCIPAL DUTIES AND RESPONSIBILITIES Web Application Design & Development Design and develop enterprise-grade Angular web applications for corporate and institutional banking customers. Build responsive, accessible, and high-performance user interfaces aligned with UX/UI standards. Implement modular architecture using Angular/React best practices. Ensure cross-browser compatibility and mobile responsiveness. Full-Stack Development Develop and integrate RESTful and/or GraphQL APIs. Build backend services using modern frameworks (Java/Spring Boot, .NET, Node.js). Create and maintain database objects including tables, views, stored procedures, and functions. Write efficient SQL queries and optimize data access. System Architecture & Solution Design Translate business requirements into scalable technical solutions. Contribute to microservices and API-first architectures. Design solutions aligned with enterprise architecture principles, cloud strategy and regulatory requirements using scalable, resilient, and secure integration patterns. Support modernization initiatives including real-time payments and API-led architectures. Banking & Secure Application Development Develop applications compliant with banking regulations and security policies. Implement secure coding practices (SSO, OAuth2, OIDC, Encryption). DevOps & Delivery Participate in CI/CD pipeline implementation. Ensure code quality via testing and reviews. Support production releases and issue resolution. Technical Leadership & Collaboration Mentor team members and contribute to design reviews & collaborate with cross-functional teams. MINIMUM JOB REQUIREMENTS OR EXPERIENCE 10+ years of overall technology experience with significant experience in Angular and full-stack development in banking or financial services Proven experience architecting mission-critical, high-volume, regulated systems. Knowledge of payment rails, clearing models, and settlement mechanisms. Knowledge of architecture design aligned with ISO 20022 and other financial messaging standards. TECHNICAL SKILLS Core - Must Have Enterprise and solution architecture experience in banking or payments. Distributed systems, microservices, and event-driven architectures. Seasoned C# / .NET developer. Azure cloud experience. Security architecture, authentication, authorization, and data protection. Angular, TypeScript, HTML5, CSS3 REST APIs and state management Backend development (Java, .NET, Node.js) Database expertise and SQL optimization CI/CD tools experience (full DevOps and App code scans) Preferred / Nice to Have Strong understanding of payment lifecycles and ISO 20022. Understanding of domestic and cross-border payment processing solutions. Education and Other Requirements Bachelor's degree in computer science, Engineering, or related field, or equivalent practical experience. Strong communication skills and ability to influence senior stakeholders. Please email your resume or use this link to apply directly: Or email: Check ALL our Jobs:
08/04/2026
Full time
Our client, a major bank in New York City, is looking for Senior Solutions Architect Developer - Payment Systems (Director Level). New York City Location. This is hybrid commute, 2/3 days per week in the office. Must be authorized to work for ANY employer in US - NO H1 Visa support for this role Salary range 180 - 200K, plus around 20% bonus, plus great benefits package. Senior Solutions Architect Developer - Payment Systems and Customer Reporting. In this role you will be responsible for the design, development, and production support of modern web applications and digital platforms supporting banking customers. This role is a fully hands-on senior system developer with deep expertise in Angular-based front-end development, complemented by strong capabilities in back-end services, database design, and full-stack solution delivery. You will work closely with product, business, architecture, security, and infrastructure teams to build secure, scalable, and regulatory-compliant digital banking experiences. The role demands ownership of the end-to-end development lifecycle, including UI, APIs, data layer, and deployment artifacts, ensuring alignment with enterprise architecture standards and banking regulatory requirements. PRINCIPAL DUTIES AND RESPONSIBILITIES Web Application Design & Development Design and develop enterprise-grade Angular web applications for corporate and institutional banking customers. Build responsive, accessible, and high-performance user interfaces aligned with UX/UI standards. Implement modular architecture using Angular/React best practices. Ensure cross-browser compatibility and mobile responsiveness. Full-Stack Development Develop and integrate RESTful and/or GraphQL APIs. Build backend services using modern frameworks (Java/Spring Boot, .NET, Node.js). Create and maintain database objects including tables, views, stored procedures, and functions. Write efficient SQL queries and optimize data access. System Architecture & Solution Design Translate business requirements into scalable technical solutions. Contribute to microservices and API-first architectures. Design solutions aligned with enterprise architecture principles, cloud strategy and regulatory requirements using scalable, resilient, and secure integration patterns. Support modernization initiatives including real-time payments and API-led architectures. Banking & Secure Application Development Develop applications compliant with banking regulations and security policies. Implement secure coding practices (SSO, OAuth2, OIDC, Encryption). DevOps & Delivery Participate in CI/CD pipeline implementation. Ensure code quality via testing and reviews. Support production releases and issue resolution. Technical Leadership & Collaboration Mentor team members and contribute to design reviews & collaborate with cross-functional teams. MINIMUM JOB REQUIREMENTS OR EXPERIENCE 10+ years of overall technology experience with significant experience in Angular and full-stack development in banking or financial services Proven experience architecting mission-critical, high-volume, regulated systems. Knowledge of payment rails, clearing models, and settlement mechanisms. Knowledge of architecture design aligned with ISO 20022 and other financial messaging standards. TECHNICAL SKILLS Core - Must Have Enterprise and solution architecture experience in banking or payments. Distributed systems, microservices, and event-driven architectures. Seasoned C# / .NET developer. Azure cloud experience. Security architecture, authentication, authorization, and data protection. Angular, TypeScript, HTML5, CSS3 REST APIs and state management Backend development (Java, .NET, Node.js) Database expertise and SQL optimization CI/CD tools experience (full DevOps and App code scans) Preferred / Nice to Have Strong understanding of payment lifecycles and ISO 20022. Understanding of domestic and cross-border payment processing solutions. Education and Other Requirements Bachelor's degree in computer science, Engineering, or related field, or equivalent practical experience. Strong communication skills and ability to influence senior stakeholders. Please email your resume or use this link to apply directly: Or email: Check ALL our Jobs:
Job Title: Embedded Software Engineer (Sr Levels) Department: Engineering Reports To: Director of Engineering FLSA Status: Exempt Job Summary Vanteon is seeking a Principal Embedded Software Engineer to join our team. The position will design and develop Petalinux Board Support Package and MAC layer communications firmware for custom hardware. Specific platforms would include the AMD/Xilinx Zynq ARM and ADI ADRV900X Transceiver platforms. Duties/Responsibilities The following is a list of expected duties to be involved in this position; this is not fully inclusive, and management may assign other duties: Analyze system for identification of use cases and development of System Requirement Specifications. Design and implement embedded software, device drivers, and board support packages. Investigate and propose project-related technologies to meet requirements. Create technical documentation including Software Requirements Specifications, Design Documents, Test Summary Reports, and development notes. Collaborate with hardware and other engineers for design and integration efforts. Define and execute engineering verification and acceptance criteria tests. Mentor more junior engineers. Supervisory Responsibilities None Required Skills & Knowledge Embedded systems software for real-time bare-metal, RTOSs, and embedded Linux-based systems. Multi-threaded programming, distributed design, device driver development, and hardware-level. diagnostics, MAC sublayer, BIOS / Bootloader development and configuration, and interrupt handling. BSP creation and new custom hardware bring-up for bare-metal, RTOS, and embedded Linux platforms. Proficient with C/C++ and able to work at the assembly level for embedded processors. Advanced object-oriented design approaches to reusable software systems design. Experience using embedded tools such as compilers, debuggers, ICE, and emulators. Experience with common build management systems (make, etc.) and git version control systems. Hardware/software interface design experience (SPI, I2C, LVDS, DMA, etc.). Proven track record of successful product completion and deployment. Excellent written and verbal communication and analytical skills. Highly motivated, well-organized self-starter. Desired Skills AMD/Xilinx FPGA HDL, hardware configuration, and block design familiarity. AMD/Xilinx Petalinux/Yocto bring-up, customization, and Zynq hardware integration. ADI ADRV9002 configuration and control. Experience with Python for testing standardization, automation, and test fixturing. Linux Yocto build recipes. Linux kernel and application software development. Linux Ethernet driver stack configuration and routing (OpenWRT, etc.). Experience with common CI/CD tools and containerize development methodologies. Experience with UML design modeling and tools. Secure Bootloaders, Binary Signing and Encryption, and TPM integrations. OpenAmp Education and Experience BS EE/CE/CS/SE 5+ years' experience in embedded systems software Other Requirements Training and regular duties require a physical office presence. Although Vanteon will comply with all NYS/Federal requirements related to COVID-19, candidates will be expected to work on-site. Although minimal, some circumstances may require a weekly commitment above 40 hours or hours outside of regular business hours. Physical Requirements Prolonged periods sitting at a desk and working on a computer Be able to perform low to moderately strenuous physical activities requiring standing, walking, and reaching. Must be able to lift up to 15 pounds at times. The physical demands described above represent those that an employee must meet to perform the essential functions of this job successfully. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Equal Opportunity Employer Vanteon Corporation provides equal employment opportunities to all employees and applicants for employment. It prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Compensation Range A candidate's compensation will depend heavily on their skills and experience and will include a very competitive benefits package. Position is eligible for a variety of bonuses, including client referrals, employee referrals, publications, and extra effort. The estimated range for specific positions associated with this job posting is: Principal Engineer - $115,000 to $135,000 Senior Principal Engineer - $130,000 to $150,000 Applying Applicants should submit a resume and cover letter to Ronnie Ells - . Please note that all offers for hire are contingent on passing e-verify, background, and drug screenings. In addition, you must be able to work with ITAR and CUI data. About Vanteon Vanteon LLC, a wholly owned subsidiary of Performance Drone Works, is an engineering services company specializing in wireless and RF design. We offer Analog, Digital, RF, Hardware, Software, and FPGA design services. At Vanteon, we develop products for companies that range from small start-ups to large Fortune 50 companies. The designs we create include Software-Defined Radio (SDR), Wi-Fi, Bluetooth, etc., for markets such as telecom (3G, 4G, 5G cellular), Aviation, Medical, Government, Industrial, and more. Types of projects include handheld devices, wearables, RADAR, signal/spectrum analyzers, and wireless widgets of all kinds. Vanteon has been voted one of the "Best Companies to Work for in NY" for 15 years running; most times, we've ranked in the top 5.
08/04/2026
Full time
Job Title: Embedded Software Engineer (Sr Levels) Department: Engineering Reports To: Director of Engineering FLSA Status: Exempt Job Summary Vanteon is seeking a Principal Embedded Software Engineer to join our team. The position will design and develop Petalinux Board Support Package and MAC layer communications firmware for custom hardware. Specific platforms would include the AMD/Xilinx Zynq ARM and ADI ADRV900X Transceiver platforms. Duties/Responsibilities The following is a list of expected duties to be involved in this position; this is not fully inclusive, and management may assign other duties: Analyze system for identification of use cases and development of System Requirement Specifications. Design and implement embedded software, device drivers, and board support packages. Investigate and propose project-related technologies to meet requirements. Create technical documentation including Software Requirements Specifications, Design Documents, Test Summary Reports, and development notes. Collaborate with hardware and other engineers for design and integration efforts. Define and execute engineering verification and acceptance criteria tests. Mentor more junior engineers. Supervisory Responsibilities None Required Skills & Knowledge Embedded systems software for real-time bare-metal, RTOSs, and embedded Linux-based systems. Multi-threaded programming, distributed design, device driver development, and hardware-level. diagnostics, MAC sublayer, BIOS / Bootloader development and configuration, and interrupt handling. BSP creation and new custom hardware bring-up for bare-metal, RTOS, and embedded Linux platforms. Proficient with C/C++ and able to work at the assembly level for embedded processors. Advanced object-oriented design approaches to reusable software systems design. Experience using embedded tools such as compilers, debuggers, ICE, and emulators. Experience with common build management systems (make, etc.) and git version control systems. Hardware/software interface design experience (SPI, I2C, LVDS, DMA, etc.). Proven track record of successful product completion and deployment. Excellent written and verbal communication and analytical skills. Highly motivated, well-organized self-starter. Desired Skills AMD/Xilinx FPGA HDL, hardware configuration, and block design familiarity. AMD/Xilinx Petalinux/Yocto bring-up, customization, and Zynq hardware integration. ADI ADRV9002 configuration and control. Experience with Python for testing standardization, automation, and test fixturing. Linux Yocto build recipes. Linux kernel and application software development. Linux Ethernet driver stack configuration and routing (OpenWRT, etc.). Experience with common CI/CD tools and containerize development methodologies. Experience with UML design modeling and tools. Secure Bootloaders, Binary Signing and Encryption, and TPM integrations. OpenAmp Education and Experience BS EE/CE/CS/SE 5+ years' experience in embedded systems software Other Requirements Training and regular duties require a physical office presence. Although Vanteon will comply with all NYS/Federal requirements related to COVID-19, candidates will be expected to work on-site. Although minimal, some circumstances may require a weekly commitment above 40 hours or hours outside of regular business hours. Physical Requirements Prolonged periods sitting at a desk and working on a computer Be able to perform low to moderately strenuous physical activities requiring standing, walking, and reaching. Must be able to lift up to 15 pounds at times. The physical demands described above represent those that an employee must meet to perform the essential functions of this job successfully. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Equal Opportunity Employer Vanteon Corporation provides equal employment opportunities to all employees and applicants for employment. It prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Compensation Range A candidate's compensation will depend heavily on their skills and experience and will include a very competitive benefits package. Position is eligible for a variety of bonuses, including client referrals, employee referrals, publications, and extra effort. The estimated range for specific positions associated with this job posting is: Principal Engineer - $115,000 to $135,000 Senior Principal Engineer - $130,000 to $150,000 Applying Applicants should submit a resume and cover letter to Ronnie Ells - . Please note that all offers for hire are contingent on passing e-verify, background, and drug screenings. In addition, you must be able to work with ITAR and CUI data. About Vanteon Vanteon LLC, a wholly owned subsidiary of Performance Drone Works, is an engineering services company specializing in wireless and RF design. We offer Analog, Digital, RF, Hardware, Software, and FPGA design services. At Vanteon, we develop products for companies that range from small start-ups to large Fortune 50 companies. The designs we create include Software-Defined Radio (SDR), Wi-Fi, Bluetooth, etc., for markets such as telecom (3G, 4G, 5G cellular), Aviation, Medical, Government, Industrial, and more. Types of projects include handheld devices, wearables, RADAR, signal/spectrum analyzers, and wireless widgets of all kinds. Vanteon has been voted one of the "Best Companies to Work for in NY" for 15 years running; most times, we've ranked in the top 5.
Genesis10 is currently seeking a Platform Owner - Microsoft 365 for a hybrid position with a Global Manufacturing Company located in Minneapolis, MN. This is a direct hire opportunity. Compensation: $130,000.00 - $135,000.00 per year, W2, based on qualifications Position Overview: This position is accountable for the strategy, governance, security posture, cost management, and operational health of the Microsoft 365 platform. The Platform Owner will ensure that services including Teams, SharePoint Online, OneDrive, Exchange Online, Power Platform, and Microsoft 365 Copilot are secure, governed, and aligned with Zero Trust principles. This role serves as the decision authority and escalation point for all Microsoft 365 matters, setting direction and ensuring the platform delivers expected business outcomes. Key Responsibilities: Own the end-to-end Microsoft 365 platform roadmap, feature enablement, and tenant-wide standards Determine when to adopt, defer, restrict or disable new features based on business value, risk, and platform maturity Translate platform constraints, risks, and tradeoffs into clear guidance for business stakeholders Partner with Cybersecurity and Identity teams to enforce Conditional Access, MFA, and least-privilege access Own governance for Microsoft 365 services, guest access, and external sharing Own Microsoft 365 Copilot enablement, including eligibility, rollout, licensing, and risk management Define how data is surfaced and used across Microsoft Search and Copilot experiences Own the Microsoft 365 licensing strategy and drive cost optimization Oversee lifecycle governance of third-party apps, app registrations, and service principals Own Tier 3 escalation for complex Microsoft 365 incidents and coordinate resolution Primary Requirements: Bachelor's degree in Information Technology, Information Systems, Computer Science, Engineering or related field 7 years of experience in Microsoft 365 platform ownership, administration, or enterprise collaboration platforms Demonstrated ownership of Microsoft 365 (Teams, SharePoint, OneDrive, Exchange) in an enterprise environment Experience leading platform governance and influencing cross-functional partners Ability to translate platform risk, security posture, and technical constraints into clear business guidance Hands-on experience with service management for cloud platforms, including incident, problem, and change management Working knowledge of access management, security controls (e.g., Conditional Access, MFA), and data protection practices aligned to Zero Trust Desired Skills: Experience defining and operating Microsoft 365 governance at scale Familiarity with Microsoft Purview, Defender, and Entra ID governance capabilities Experience with structured service management or change control practices in a cloud environment Exposure to Power Platform and Microsoft 365 Copilot, including governance and risk considerations Strong understanding of licensing models and cost optimization in Microsoft 365 If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all of our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
08/04/2026
Full time
Genesis10 is currently seeking a Platform Owner - Microsoft 365 for a hybrid position with a Global Manufacturing Company located in Minneapolis, MN. This is a direct hire opportunity. Compensation: $130,000.00 - $135,000.00 per year, W2, based on qualifications Position Overview: This position is accountable for the strategy, governance, security posture, cost management, and operational health of the Microsoft 365 platform. The Platform Owner will ensure that services including Teams, SharePoint Online, OneDrive, Exchange Online, Power Platform, and Microsoft 365 Copilot are secure, governed, and aligned with Zero Trust principles. This role serves as the decision authority and escalation point for all Microsoft 365 matters, setting direction and ensuring the platform delivers expected business outcomes. Key Responsibilities: Own the end-to-end Microsoft 365 platform roadmap, feature enablement, and tenant-wide standards Determine when to adopt, defer, restrict or disable new features based on business value, risk, and platform maturity Translate platform constraints, risks, and tradeoffs into clear guidance for business stakeholders Partner with Cybersecurity and Identity teams to enforce Conditional Access, MFA, and least-privilege access Own governance for Microsoft 365 services, guest access, and external sharing Own Microsoft 365 Copilot enablement, including eligibility, rollout, licensing, and risk management Define how data is surfaced and used across Microsoft Search and Copilot experiences Own the Microsoft 365 licensing strategy and drive cost optimization Oversee lifecycle governance of third-party apps, app registrations, and service principals Own Tier 3 escalation for complex Microsoft 365 incidents and coordinate resolution Primary Requirements: Bachelor's degree in Information Technology, Information Systems, Computer Science, Engineering or related field 7 years of experience in Microsoft 365 platform ownership, administration, or enterprise collaboration platforms Demonstrated ownership of Microsoft 365 (Teams, SharePoint, OneDrive, Exchange) in an enterprise environment Experience leading platform governance and influencing cross-functional partners Ability to translate platform risk, security posture, and technical constraints into clear business guidance Hands-on experience with service management for cloud platforms, including incident, problem, and change management Working knowledge of access management, security controls (e.g., Conditional Access, MFA), and data protection practices aligned to Zero Trust Desired Skills: Experience defining and operating Microsoft 365 governance at scale Familiarity with Microsoft Purview, Defender, and Entra ID governance capabilities Experience with structured service management or change control practices in a cloud environment Exposure to Power Platform and Microsoft 365 Copilot, including governance and risk considerations Strong understanding of licensing models and cost optimization in Microsoft 365 If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all of our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Network & Telecom Support Engineer II Summary of Position: The Network & Telecom Support Engineer II is responsible for the support, implementation, and maintenance of the organization's network infrastructure and telephony systems. This entry-level role assists in the deployment and optimization of networking technologies, including routers, switches, firewalls, and wireless access points, while also managing and supporting cloud-based telephony platforms such as Cisco Webex Cloud, Webex Contact Center, and Vonage Contact Center. The engineer will work collaboratively with senior engineers and cross-functional teams to ensure the reliable, secure, and efficient operation of both network and telecom environments that support the business. Principal Duties and Responsibilities: Network Implementation: Assist in the deployment of network infrastructure, including routers, switches, firewalls, and wireless access points. Participate in the implementation and configuration of network solutions, ensuring alignment with organizational standards and best practices. Deploy network configuration through automated workflows following CI/CD practices. Contribute to the deployment of Software-Defined Wide Area Network (SD-WAN) solutions to improve network efficiency and reliability. Assist in the implementation of cloud connectivity solutions, optimizing for performance, security, and cost-effectiveness. Telephony Management: Assist in operating and optimizing cloud-based telephony systems, including Webex Cloud for internal telephony, Webex Contact Center for IT Service Desk operations, and Vonage Contact Center for sales and customer care. Support the configuration and administration of telephony systems, leveraging automation tools and DevOps principles where applicable. Assist in the integration of telephony solutions with other IT systems and platforms. Monitor telephony system performance and usage metrics, analyzing data to ensure optimal performance and identify areas for improvement. Assist with telephony-related projects, including system upgrades, migrations, and new implementations. Operations and Support: Provide on-call service 24x7 for Tier 2 support in partnership with Service Desk for network and telephony-related issues, troubleshooting and resolving problems in a timely manner. Monitor network and telephony performance using monitoring tools to identify and address potential issues proactively. Assist in the administration of network and telephony security services, including updating rules and filters to maintain a strong security posture. Support infrastructure maintenance activities, including upgrades and vulnerability patches. Collaborate with vendors and PSTN partners to resolve issues, manage upgrades, and maintain service contracts. Process Improvement and Documentation: Contribute to the development and enforcement of Standard Operating Procedures (SOPs) for network and telephony operations. Identify opportunities for operational process improvements, supporting initiatives to enhance efficiency and service quality. Assist in maintaining up-to-date documentation, including network diagrams, telephony configurations, and standard operating procedures. Develop and deliver training materials and documentation for end-users on telephony and network systems. Education and Experience Requirements: Education: Bachelor's degree in Computer Science, Information Technology, Telecommunications, Engineering, or a related field; or equivalent work experience. Experience: 1-2 years of relevant work experience in computer networks, telephony, or related IT support roles. Exposure to enterprise office and data center environments is a plus. Certifications: Certifications such as ITIL, Cisco CCNA, CompTIA Network+, or similar are preferred but not required. Skills and Expertise: Workflow Automation: Identifying repetitive, rule-based tasks and leveraging AI to execute smart automations that save time and manual workload. Networking Technologies: Basic proficiency in configuring and managing network devices, including routers, switches, and firewalls. Familiarity with Cisco/Meraki, Cisco Catalyst, Cisco Nexus, and Palo Alto Networks is a plus. Telephony Systems: Foundational understanding of cloud-based telephony systems, including Cisco Webex Cloud and VoIP/SIP protocols. Experience with contact center platforms is a plus. Security: Knowledge of network and telephony security best practices, including compliance with security policies and industry regulations. Technical Proficiency: Familiarity with automation tools, GitHub, and CI/CD practices is beneficial. Troubleshooting: Strong problem-solving and analytical skills, with the ability to diagnose and resolve network and telephony issues efficiently. Personal Attributes: Team Player: Ability to work collaboratively with senior engineers, IT teams, vendors, and other stakeholders to achieve shared goals. Communication: Effective written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences. Customer Focus: A commitment to providing high-quality support and improving the user experience for both internal and external stakeholders. Detail-Oriented: Strong attention to detail, ensuring accuracy in configurations and documentation. Adaptability: Ability to adapt to new technologies and processes in a dynamic work environment. Additional Requirements: Continuous Learning: Commitment to staying current with industry trends and pursuing relevant certifications and training opportunities. Travel: Willingness to travel occasionally to support network or telephony installations and upgrades at remote locations. This role is ideal for a motivated individual looking to build a foundation in both network engineering and telecommunications, gaining hands-on experience across infrastructure, cloud connectivity, and enterprise telephony systems. Physical Requirements This is primarily a sedentary office position which requires the incumbent to have the ability to operate computer equipment, speak, hear, bend, stoop, reach, lift, and move and carry up to 25 lbs. Finger dexterity is necessary. This description outlines the basic responsibilities and requirements for the position noted. This is not a comprehensive listing of all job duties of the associates. Duties, responsibilities, and activities may change at any time with or without notice. Life at Lennar At Lennar, we are committed to fostering a supportive and enriching environment for our Associates, offering a comprehensive array of benefits designed to enhance their well-being and professional growth. Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision coverage, ensuring their health needs are well taken care of. Our 401(k) Retirement Plan, complete with a $1 for $1 Company Match up to 5%, helps secure their financial future, while Paid Parental Leave and an Associate Assistance Plan provide essential support during life's critical moments. To further support our Associates, we provide an Education Assistance Program and up to $30,000 in Adoption Assistance, underscoring our commitment to their diverse needs and aspirations. From the moment of hire, they can enjoy up to three weeks of vacation annually, alongside generous Holiday, Sick Leave, and Personal Day policies. Additionally, we offer a New Hire Referral Bonus Program, significant Home Purchase Discounts, and unique opportunities such as the Everyone's Included Day. At Lennar, we believe in investing in our Associates, empowering them to thrive both personally and professionally. Lennar Associates will have access to these benefits as outlined by Lennar's policies and applicable plan terms. Visit to view our suite of benefits. Join the fun and follow us on social media to see what's happening at our company, and don't forget to connect with us on Lennar: Overview LinkedIn for the latest job opportunities. Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.
08/04/2026
Full time
Network & Telecom Support Engineer II Summary of Position: The Network & Telecom Support Engineer II is responsible for the support, implementation, and maintenance of the organization's network infrastructure and telephony systems. This entry-level role assists in the deployment and optimization of networking technologies, including routers, switches, firewalls, and wireless access points, while also managing and supporting cloud-based telephony platforms such as Cisco Webex Cloud, Webex Contact Center, and Vonage Contact Center. The engineer will work collaboratively with senior engineers and cross-functional teams to ensure the reliable, secure, and efficient operation of both network and telecom environments that support the business. Principal Duties and Responsibilities: Network Implementation: Assist in the deployment of network infrastructure, including routers, switches, firewalls, and wireless access points. Participate in the implementation and configuration of network solutions, ensuring alignment with organizational standards and best practices. Deploy network configuration through automated workflows following CI/CD practices. Contribute to the deployment of Software-Defined Wide Area Network (SD-WAN) solutions to improve network efficiency and reliability. Assist in the implementation of cloud connectivity solutions, optimizing for performance, security, and cost-effectiveness. Telephony Management: Assist in operating and optimizing cloud-based telephony systems, including Webex Cloud for internal telephony, Webex Contact Center for IT Service Desk operations, and Vonage Contact Center for sales and customer care. Support the configuration and administration of telephony systems, leveraging automation tools and DevOps principles where applicable. Assist in the integration of telephony solutions with other IT systems and platforms. Monitor telephony system performance and usage metrics, analyzing data to ensure optimal performance and identify areas for improvement. Assist with telephony-related projects, including system upgrades, migrations, and new implementations. Operations and Support: Provide on-call service 24x7 for Tier 2 support in partnership with Service Desk for network and telephony-related issues, troubleshooting and resolving problems in a timely manner. Monitor network and telephony performance using monitoring tools to identify and address potential issues proactively. Assist in the administration of network and telephony security services, including updating rules and filters to maintain a strong security posture. Support infrastructure maintenance activities, including upgrades and vulnerability patches. Collaborate with vendors and PSTN partners to resolve issues, manage upgrades, and maintain service contracts. Process Improvement and Documentation: Contribute to the development and enforcement of Standard Operating Procedures (SOPs) for network and telephony operations. Identify opportunities for operational process improvements, supporting initiatives to enhance efficiency and service quality. Assist in maintaining up-to-date documentation, including network diagrams, telephony configurations, and standard operating procedures. Develop and deliver training materials and documentation for end-users on telephony and network systems. Education and Experience Requirements: Education: Bachelor's degree in Computer Science, Information Technology, Telecommunications, Engineering, or a related field; or equivalent work experience. Experience: 1-2 years of relevant work experience in computer networks, telephony, or related IT support roles. Exposure to enterprise office and data center environments is a plus. Certifications: Certifications such as ITIL, Cisco CCNA, CompTIA Network+, or similar are preferred but not required. Skills and Expertise: Workflow Automation: Identifying repetitive, rule-based tasks and leveraging AI to execute smart automations that save time and manual workload. Networking Technologies: Basic proficiency in configuring and managing network devices, including routers, switches, and firewalls. Familiarity with Cisco/Meraki, Cisco Catalyst, Cisco Nexus, and Palo Alto Networks is a plus. Telephony Systems: Foundational understanding of cloud-based telephony systems, including Cisco Webex Cloud and VoIP/SIP protocols. Experience with contact center platforms is a plus. Security: Knowledge of network and telephony security best practices, including compliance with security policies and industry regulations. Technical Proficiency: Familiarity with automation tools, GitHub, and CI/CD practices is beneficial. Troubleshooting: Strong problem-solving and analytical skills, with the ability to diagnose and resolve network and telephony issues efficiently. Personal Attributes: Team Player: Ability to work collaboratively with senior engineers, IT teams, vendors, and other stakeholders to achieve shared goals. Communication: Effective written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences. Customer Focus: A commitment to providing high-quality support and improving the user experience for both internal and external stakeholders. Detail-Oriented: Strong attention to detail, ensuring accuracy in configurations and documentation. Adaptability: Ability to adapt to new technologies and processes in a dynamic work environment. Additional Requirements: Continuous Learning: Commitment to staying current with industry trends and pursuing relevant certifications and training opportunities. Travel: Willingness to travel occasionally to support network or telephony installations and upgrades at remote locations. This role is ideal for a motivated individual looking to build a foundation in both network engineering and telecommunications, gaining hands-on experience across infrastructure, cloud connectivity, and enterprise telephony systems. Physical Requirements This is primarily a sedentary office position which requires the incumbent to have the ability to operate computer equipment, speak, hear, bend, stoop, reach, lift, and move and carry up to 25 lbs. Finger dexterity is necessary. This description outlines the basic responsibilities and requirements for the position noted. This is not a comprehensive listing of all job duties of the associates. Duties, responsibilities, and activities may change at any time with or without notice. Life at Lennar At Lennar, we are committed to fostering a supportive and enriching environment for our Associates, offering a comprehensive array of benefits designed to enhance their well-being and professional growth. Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision coverage, ensuring their health needs are well taken care of. Our 401(k) Retirement Plan, complete with a $1 for $1 Company Match up to 5%, helps secure their financial future, while Paid Parental Leave and an Associate Assistance Plan provide essential support during life's critical moments. To further support our Associates, we provide an Education Assistance Program and up to $30,000 in Adoption Assistance, underscoring our commitment to their diverse needs and aspirations. From the moment of hire, they can enjoy up to three weeks of vacation annually, alongside generous Holiday, Sick Leave, and Personal Day policies. Additionally, we offer a New Hire Referral Bonus Program, significant Home Purchase Discounts, and unique opportunities such as the Everyone's Included Day. At Lennar, we believe in investing in our Associates, empowering them to thrive both personally and professionally. Lennar Associates will have access to these benefits as outlined by Lennar's policies and applicable plan terms. Visit to view our suite of benefits. Join the fun and follow us on social media to see what's happening at our company, and don't forget to connect with us on Lennar: Overview LinkedIn for the latest job opportunities. Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.
Southwest Research Institute - Fulltime
Oklahoma City, Oklahoma
Who We Are: The Strategic Aerospace Department within the Defense & Intelligence Solutions Division delivers cutting-edge engineering services to enhance the warfighter's capabilities across bomber, tanker, and heavy aircraft platforms. We specialize in world-class research, design, and support, providing innovative solutions to modern challenges and legacy systems for the U.S. Air Force Global Strike Command, Department of Defense, allied nations, and the U.S. Government, ensuring mission readiness and technological superiority. Objectives of this Role: Define end-to-end avionics system architectures and requirements for complex LRUs/SRUs, ensuring full traceability and compliance to platform, safety, and customer mission needs across the program lifecycle. Lead integration planning and execution from concept through flightworthy fielding-interfaces, verification strategy, airworthiness artifacts, and risk reduction-accelerating delivery with predictable outcomes. Serve as the technical integrator across multidisciplinary teams, providing direction to avionics, software, electrical, and test staff to resolve issues, control interfaces, and drive decisions to closure. Ensure government process readiness by shaping compliance evidence (V&V plans, ICDs, reviews, test readiness) and aligning engineering execution to customer approvals, enabling smooth certification and operational acceptance. Drive modernization and sustainment roadmaps by assessing obsolescence, upgrade options, and technical tradeoffs for avionics LRUs/SRUs, translating insights into executable plans that improve reliability, maintainability, and mission readiness. Daily and Monthly Responsibilities: Translate customer/platform needs into actionable avionics requirements; update traceability, ICDs, and architecture artifacts; resolve requirement conflicts and drive decisions to closure. Lead integration execution across LRU/SRU, software, EE, and test teams-manage interfaces, troubleshoot system issues, and coordinate lab/aircraft integration activities. Maintain the program's technical "battle rhythm" (standups, action tracking, risk/RAID), ensuring blockers are removed and engineering products stay aligned to the baseline and schedule. Conduct architecture and requirements reviews (SRR/PDR/CDR support), publish verification plans/matrices, and ensure V&V evidence is collected, controlled, and audit-ready for customer approval. Lead integration/test readiness and compliance cadence-review DT/OT plans, coordinate airworthiness/flightworthiness artifacts, and brief customer/stakeholders on status, risks, and next steps. Requirements: Requires a Bachelors degree in Mechanical Engineering, Systems Engineering, or Electrical Engineering. 10+ years: Expert avionics systems engineering: develop architecture, allocate requirements, and maintain end-to-end traceability for complex LRUs/SRUs; strong interface definition (ICDs) and configuration discipline across the lifecycle. 10+ years: Proven integration/flightworthy fielding experience: lead V&V strategy, test readiness, and airworthiness artifacts; navigate USAF/government reviews and acceptance processes to deliver operationally ready systems. 10+ years: Strong multi-disciplinary technical leadership: drive decisions across avionics, software, EE, ME, and test teams; resolve integration issues quickly with structured problem-solving and clear technical direction. 10+ years: Systems integration rigor: manage interfaces, timing/data buses, power/thermal constraints, and lab-to-aircraft integration; produce clear technical baselines, risk management, and customer-ready documentation/briefs. A valid/clear driver's license is required.
08/04/2026
Full time
Who We Are: The Strategic Aerospace Department within the Defense & Intelligence Solutions Division delivers cutting-edge engineering services to enhance the warfighter's capabilities across bomber, tanker, and heavy aircraft platforms. We specialize in world-class research, design, and support, providing innovative solutions to modern challenges and legacy systems for the U.S. Air Force Global Strike Command, Department of Defense, allied nations, and the U.S. Government, ensuring mission readiness and technological superiority. Objectives of this Role: Define end-to-end avionics system architectures and requirements for complex LRUs/SRUs, ensuring full traceability and compliance to platform, safety, and customer mission needs across the program lifecycle. Lead integration planning and execution from concept through flightworthy fielding-interfaces, verification strategy, airworthiness artifacts, and risk reduction-accelerating delivery with predictable outcomes. Serve as the technical integrator across multidisciplinary teams, providing direction to avionics, software, electrical, and test staff to resolve issues, control interfaces, and drive decisions to closure. Ensure government process readiness by shaping compliance evidence (V&V plans, ICDs, reviews, test readiness) and aligning engineering execution to customer approvals, enabling smooth certification and operational acceptance. Drive modernization and sustainment roadmaps by assessing obsolescence, upgrade options, and technical tradeoffs for avionics LRUs/SRUs, translating insights into executable plans that improve reliability, maintainability, and mission readiness. Daily and Monthly Responsibilities: Translate customer/platform needs into actionable avionics requirements; update traceability, ICDs, and architecture artifacts; resolve requirement conflicts and drive decisions to closure. Lead integration execution across LRU/SRU, software, EE, and test teams-manage interfaces, troubleshoot system issues, and coordinate lab/aircraft integration activities. Maintain the program's technical "battle rhythm" (standups, action tracking, risk/RAID), ensuring blockers are removed and engineering products stay aligned to the baseline and schedule. Conduct architecture and requirements reviews (SRR/PDR/CDR support), publish verification plans/matrices, and ensure V&V evidence is collected, controlled, and audit-ready for customer approval. Lead integration/test readiness and compliance cadence-review DT/OT plans, coordinate airworthiness/flightworthiness artifacts, and brief customer/stakeholders on status, risks, and next steps. Requirements: Requires a Bachelors degree in Mechanical Engineering, Systems Engineering, or Electrical Engineering. 10+ years: Expert avionics systems engineering: develop architecture, allocate requirements, and maintain end-to-end traceability for complex LRUs/SRUs; strong interface definition (ICDs) and configuration discipline across the lifecycle. 10+ years: Proven integration/flightworthy fielding experience: lead V&V strategy, test readiness, and airworthiness artifacts; navigate USAF/government reviews and acceptance processes to deliver operationally ready systems. 10+ years: Strong multi-disciplinary technical leadership: drive decisions across avionics, software, EE, ME, and test teams; resolve integration issues quickly with structured problem-solving and clear technical direction. 10+ years: Systems integration rigor: manage interfaces, timing/data buses, power/thermal constraints, and lab-to-aircraft integration; produce clear technical baselines, risk management, and customer-ready documentation/briefs. A valid/clear driver's license is required.
Southwest Research Institute - Fulltime
San Antonio, Texas
Who We Are: We develop, maintain, and advance MoSAIC (Modular System for Automation, Instrumentation, and Control), our LabVIEW-based software platform designed for automated R&D testing of electro-mechanical systems and components. MoSAIC enables seamless data acquisition, real-time control, scripting, and logging through integration with National Instruments (NI) hardware (e.g., PXI, CompactRIO) and RTOS. The platform supports a wide range of applications, including testing vehicle battery packs, electric motors, electric vehicles, internal combustion engines, drivetrains, locomotives, & many others. Objectives of this Role: Collaborate with a team of data acquisition, instrumentation, and controls experts to develop, maintain, and deploy LabVIEW-based MoSAIC software solutions to support data acquisition, test system control, and automation for a wide variety of systems across a 300+ person labor Apply expertise in LabVIEW, NI Real-Time Operating Systems (RTOS), and associated NI hardware to streamline test cell operations, increase resource efficiency, and meet challenging R&D objectives. Lead or contribute to all phases of system/software integration: Requirements Gathering and Analysis, System Design, Development, Integration and Testing, Acceptance, System Installation, Deployment, Maintenance, Troubleshooting, and Data Security. Contribute to setting standards for software design and coding practices. Carry out code reviews of junior developers. Daily and Monthly Responsibilities: Work in a team or independently to develop and support LabVIEW-based applications for controlling test articles in R&D testing environments. The working environment will include office as well as laboratory/field assignments. Capture user requirements, analyze needs, and refine software designs within time and cost constraints. Provide software modifications, enhancements, and technical assessments. Collaborate with engineers, technicians, and project stakeholders to deliver integrated solutions. Troubleshoot software, RTOS, instrumentation hardware (e.g., PXI, CompactRIO), sensors, and associated systems. Engage in hands-on troubleshooting and fieldwork to ensure software and hardware align with project requirements. Review code regarding functionality, coding standards, and cybersecurity. Provide recommended improvements. Primary job function is located at the SwRI main campus in San Antonio, Texas. Travel required on an as-needed basis to conduct project work. Requirements: Requires a Bachelors degree in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, Computer Systems Engineering or other similar Computer Science or engineering degree with related experience. 14 - 19 years: Must have LabVIEW development experience and expertise. Fewer years (min: 6 yrs) of LabVIEW experience may be acceptable, if applicant has significant experience in other programming languages, such as C, C++, C#, and/or Python application building (not just data processing). Must have NI Certified LabVIEW Architect (CLA) certification, and, if none, must be willing and able to obtain CLA certification within 2 years of start of employment. Must be well versed in object-oriented programming. Must have sufficient communication skills. Must possess project management experience, specifically regarding level of effort estimating and task planning & tracking. Must have working knowledge of the following phases of system/software integration: Requirements Gathering and Analysis, System Design, Development, Integration and Testing, Acceptance, System Installation, Deployment, Maintenance, Troubleshooting, and Data Security. A valid/clear driver's license is required.
08/04/2026
Full time
Who We Are: We develop, maintain, and advance MoSAIC (Modular System for Automation, Instrumentation, and Control), our LabVIEW-based software platform designed for automated R&D testing of electro-mechanical systems and components. MoSAIC enables seamless data acquisition, real-time control, scripting, and logging through integration with National Instruments (NI) hardware (e.g., PXI, CompactRIO) and RTOS. The platform supports a wide range of applications, including testing vehicle battery packs, electric motors, electric vehicles, internal combustion engines, drivetrains, locomotives, & many others. Objectives of this Role: Collaborate with a team of data acquisition, instrumentation, and controls experts to develop, maintain, and deploy LabVIEW-based MoSAIC software solutions to support data acquisition, test system control, and automation for a wide variety of systems across a 300+ person labor Apply expertise in LabVIEW, NI Real-Time Operating Systems (RTOS), and associated NI hardware to streamline test cell operations, increase resource efficiency, and meet challenging R&D objectives. Lead or contribute to all phases of system/software integration: Requirements Gathering and Analysis, System Design, Development, Integration and Testing, Acceptance, System Installation, Deployment, Maintenance, Troubleshooting, and Data Security. Contribute to setting standards for software design and coding practices. Carry out code reviews of junior developers. Daily and Monthly Responsibilities: Work in a team or independently to develop and support LabVIEW-based applications for controlling test articles in R&D testing environments. The working environment will include office as well as laboratory/field assignments. Capture user requirements, analyze needs, and refine software designs within time and cost constraints. Provide software modifications, enhancements, and technical assessments. Collaborate with engineers, technicians, and project stakeholders to deliver integrated solutions. Troubleshoot software, RTOS, instrumentation hardware (e.g., PXI, CompactRIO), sensors, and associated systems. Engage in hands-on troubleshooting and fieldwork to ensure software and hardware align with project requirements. Review code regarding functionality, coding standards, and cybersecurity. Provide recommended improvements. Primary job function is located at the SwRI main campus in San Antonio, Texas. Travel required on an as-needed basis to conduct project work. Requirements: Requires a Bachelors degree in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, Computer Systems Engineering or other similar Computer Science or engineering degree with related experience. 14 - 19 years: Must have LabVIEW development experience and expertise. Fewer years (min: 6 yrs) of LabVIEW experience may be acceptable, if applicant has significant experience in other programming languages, such as C, C++, C#, and/or Python application building (not just data processing). Must have NI Certified LabVIEW Architect (CLA) certification, and, if none, must be willing and able to obtain CLA certification within 2 years of start of employment. Must be well versed in object-oriented programming. Must have sufficient communication skills. Must possess project management experience, specifically regarding level of effort estimating and task planning & tracking. Must have working knowledge of the following phases of system/software integration: Requirements Gathering and Analysis, System Design, Development, Integration and Testing, Acceptance, System Installation, Deployment, Maintenance, Troubleshooting, and Data Security. A valid/clear driver's license is required.
Hiring: Principal Infrastructure Engineer Location: San Francisco, CA (Hybrid) Employment Type: Contract (C2C/W2) Work Authorization: USC / H4 EAD / H1B Apply: We are looking for an experienced Principal Infrastructure Engineer to design and deploy scalable, secure infrastructure for Nextdata OS across multi-cloud environments. This is an exciting opportunity to work on Kubernetes-native technologies, cloud infrastructure, CI/CD automation, and large-scale distributed systems. Key Responsibilities Design and implement deployment models for PaaS, SaaS, and customer-managed environments. Build scalable Infrastructure-as-Code (IaC) solutions using modern cloud technologies. Develop and optimize CI/CD pipelines for cloud-native applications. Deploy and operate secure, highly available Kubernetes platforms across multi-cloud environments. Collaborate with customers, product teams, and engineering to deliver scalable infrastructure solutions. Drive platform reliability, observability, security, and performance optimization. Conduct infrastructure code reviews, security reviews, and architecture improvements. Support production environments and ensure operational excellence. Required Qualifications Bachelor's Degree in Computer Science, Engineering, or a related field. 8+ years of Infrastructure Engineering experience. Strong expertise in Kubernetes (EKS, GKE, AKS) and Docker. Hands-on experience with Infrastructure as Code (Terraform, CloudFormation). Experience with AWS, Azure, and GCP cloud platforms. Strong experience building CI/CD pipelines for cloud-native applications. Experience deploying and managing PaaS and SaaS platforms. Knowledge of data and ML platforms including Snowflake and Databricks. Experience with cloud networking (AWS VPC, Azure VNet, GCP VPC). Experience with observability tools (Prometheus, ELK Stack, Grafana, or similar). Experience with service mesh technologies such as Istio or Linkerd. Strong understanding of cloud security, scalability, reliability, and distributed systems. Excellent troubleshooting, automation, and customer-facing communication skills. Interested candidates, please share your updated resume to: Rachael IT Services Development Staffing Email: Direct:
08/04/2026
Full time
Hiring: Principal Infrastructure Engineer Location: San Francisco, CA (Hybrid) Employment Type: Contract (C2C/W2) Work Authorization: USC / H4 EAD / H1B Apply: We are looking for an experienced Principal Infrastructure Engineer to design and deploy scalable, secure infrastructure for Nextdata OS across multi-cloud environments. This is an exciting opportunity to work on Kubernetes-native technologies, cloud infrastructure, CI/CD automation, and large-scale distributed systems. Key Responsibilities Design and implement deployment models for PaaS, SaaS, and customer-managed environments. Build scalable Infrastructure-as-Code (IaC) solutions using modern cloud technologies. Develop and optimize CI/CD pipelines for cloud-native applications. Deploy and operate secure, highly available Kubernetes platforms across multi-cloud environments. Collaborate with customers, product teams, and engineering to deliver scalable infrastructure solutions. Drive platform reliability, observability, security, and performance optimization. Conduct infrastructure code reviews, security reviews, and architecture improvements. Support production environments and ensure operational excellence. Required Qualifications Bachelor's Degree in Computer Science, Engineering, or a related field. 8+ years of Infrastructure Engineering experience. Strong expertise in Kubernetes (EKS, GKE, AKS) and Docker. Hands-on experience with Infrastructure as Code (Terraform, CloudFormation). Experience with AWS, Azure, and GCP cloud platforms. Strong experience building CI/CD pipelines for cloud-native applications. Experience deploying and managing PaaS and SaaS platforms. Knowledge of data and ML platforms including Snowflake and Databricks. Experience with cloud networking (AWS VPC, Azure VNet, GCP VPC). Experience with observability tools (Prometheus, ELK Stack, Grafana, or similar). Experience with service mesh technologies such as Istio or Linkerd. Strong understanding of cloud security, scalability, reliability, and distributed systems. Excellent troubleshooting, automation, and customer-facing communication skills. Interested candidates, please share your updated resume to: Rachael IT Services Development Staffing Email: Direct:
Credit Acceptance is proud to be an award-winning company recognized both locally and nationally across multiple workplace categories. Our world-class culture is shaped by dedicated team members who are driven to succeed as professionals individually and together as a team. Backed by a strong product, exceptional people, and a stable financial foundation, we've grown into a leading provider of used and new car financing across the country. Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success. Our Team Members value being challenged, are encouraged to express their ideas, and have the flexibility to enjoy work life balance. We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions. We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture! The Senior Data Modeler designs and evolves high-quality data models across our modern data platform. This role combines strong hands-on modeling expertise with growing involvement in AI-forward data practices-including semantic layers, enriched metadata, and structured data descriptions that enable AI systems to work with enterprise data effectively. This position will operate as a key contributor within the Data Engineering team, translating business requirements into well-governed logical and physical models that serve analytics, reporting, and emerging AI use cases. While architectural strategy and enterprise standards are set by the Principal Data Engineer and VP of Data Engineering, it will be a critical partner in executing that vision-bringing strong modeling judgment, cross-system awareness, and a willingness to engage with modern semantic and AI-adjacent concepts. This is not a narrow, single-project role. This position thinks across the data lifecycle-from systems of record through the lakehouse to downstream consumers-and who can grow into increasing ownership of semantic and AI-ready data design over time. Outcome and Activities This position will work from home; occasional planned travel to an assigned Southfield, Michigan office location may be required. However, this position is permitted to work at a Southfield, Michigan office location if requested by the team member Data Modeling and Design: Design and maintain logical and physical data models (dimensional, relational) across our Databricks lakehouse environment. Apply Kimball star schema and normalized modeling best practices. Translate business requirements into clear, well-documented data structures that serve analytics, reporting, and AI consumption. Cross-System Data Lifecycle Awareness: Model data with awareness of the full lifecycle-from systems of record through integration layers to lakehouse and downstream consumers. Ensure models account for how data originates, flows, and is consumed across multiple systems, not just within the big data platform. Semantic Layer and AI-Ready Data: Support the development of semantic layer artifacts (curated views, conformed dimensions, governed metrics, Genie-ready configurations) that enable AI agents and self-service analytics to interpret enterprise data correctly. Partner with the Principal Data Engineer to evolve metadata practices toward richer, machine-interpretable descriptions-business definitions, relationships, and constraints. Metadata and Business Glossary: Contribute to critical data element identification, business glossary development, and data dictionary maintenance. Help explore approaches to reduce manual cataloging effort through AI-assisted tooling and programmatic metadata generation. Collaboration and Delivery: Partner with data engineers to implement models in performant ELT pipelines and denormalized views (such as Dealer Datahub patterns). Participate in design reviews, provide modeling guidance during development, and work cross-functionally with business stakeholders and analytics teams. Governance and Standards: Adhere to and help refine enterprise data modeling standards, naming conventions, and design patterns within the SDLC. Support model review processes, change management, and data quality efforts. Identify opportunities to improve modeling approaches or reduce duplication. Competencies: The following items detail how you will be successful in this role. Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements: 8+ years of experience in data modeling, data architecture, or analytics engineering roles Strong hands-on expertise in dimensional modeling (Kimball) and relational modeling (3NF) Experience modeling data across multiple source systems in cloud data platforms (Databricks or similar) Awareness of how data models serve downstream AI and analytics use cases, with willingness to deepen expertise in semantic layer design and AI-ready data structures Proficient SQL skills and experience working closely with data engineers on ELT pipelines Experience with data modeling and design tools (ER/Studio, ERwin, SqlDBM, dbt, or similar) Understanding of data governance concepts including lineage, metadata management, and data quality Strong communication skills and ability to collaborate across technical and business teams Self-directed and comfortable operating with autonomy while working within established architectural direction Experience with or exposure to semantic layers, governed metrics, or analytics modeling frameworks Preferred: Familiarity with metadata management platforms, data catalogs, or data documentation tools (e.g., Collibra, Unity Catalog) Awareness of knowledge graphs, ontologies, or formal data description frameworks (OWL, RDF)-deep expertise not required, but curiosity and willingness to learn is essential Hands-on Databricks experience including Unity Catalog, Delta Lake, and lakehouse architecture patterns Familiarity with Data Vault methodology Experience in financial services, auto lending, or regulated industries Exposure to AI-assisted tooling for metadata, documentation, or data profiling tasks Target Compensation: A competitive base salary range from $114,000 - $167,000. This position is eligible for an annual variable cash bonus, between 7.5 - 15%. Bonus amounts are based on individual performance. Final compensation within the range is influenced by many factors including role-specific skills, depth and experience level, industry background, relevant education and certifications. Candidates who reside in the following major metropolitan areas may be eligible for a premium on top of the posted range based on their specific zone: San Francisco, Seattle, Boston, New York City, Los Angeles and San Diego. INDENGLP Benefits Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work Our Company Values: To be successful in this role, Team Members need to be: Positive by maintaining resiliency and focusing on solutions Respectful by collaborating and actively listening Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions Direct by effectively communicating and conveying courage Earnest by taking accountability, applying feedback and effectively planning and priority setting Expectations: Remain compliant with our policies processes and legal guidelines All other duties as assigned Attendance as required by department Advice! We understand that your career search may look different than others. Our hiring team wants to make sure that this would be a fit not just for us, but for you long term. If you are actively looking or starting to explore new opportunities, send us your application! P.S. We have great details around our stats, success, history and more. We're proud of our culture and are happy to share why - let's talk! Required degrees must have been earned at institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent. Credit Acceptance is dedicated to providing a safe and inclusive working environment for all. As part of our Culture of Compliance, we are proud to be an Equal Opportunity Employer and value our culturally diverse workforce. All qualified applicants will receive consideration for employment regardless of the person's age, race, color, religion, sex, gender, sexual orientation, gender identity . click apply for full job details
08/04/2026
Full time
Credit Acceptance is proud to be an award-winning company recognized both locally and nationally across multiple workplace categories. Our world-class culture is shaped by dedicated team members who are driven to succeed as professionals individually and together as a team. Backed by a strong product, exceptional people, and a stable financial foundation, we've grown into a leading provider of used and new car financing across the country. Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success. Our Team Members value being challenged, are encouraged to express their ideas, and have the flexibility to enjoy work life balance. We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions. We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture! The Senior Data Modeler designs and evolves high-quality data models across our modern data platform. This role combines strong hands-on modeling expertise with growing involvement in AI-forward data practices-including semantic layers, enriched metadata, and structured data descriptions that enable AI systems to work with enterprise data effectively. This position will operate as a key contributor within the Data Engineering team, translating business requirements into well-governed logical and physical models that serve analytics, reporting, and emerging AI use cases. While architectural strategy and enterprise standards are set by the Principal Data Engineer and VP of Data Engineering, it will be a critical partner in executing that vision-bringing strong modeling judgment, cross-system awareness, and a willingness to engage with modern semantic and AI-adjacent concepts. This is not a narrow, single-project role. This position thinks across the data lifecycle-from systems of record through the lakehouse to downstream consumers-and who can grow into increasing ownership of semantic and AI-ready data design over time. Outcome and Activities This position will work from home; occasional planned travel to an assigned Southfield, Michigan office location may be required. However, this position is permitted to work at a Southfield, Michigan office location if requested by the team member Data Modeling and Design: Design and maintain logical and physical data models (dimensional, relational) across our Databricks lakehouse environment. Apply Kimball star schema and normalized modeling best practices. Translate business requirements into clear, well-documented data structures that serve analytics, reporting, and AI consumption. Cross-System Data Lifecycle Awareness: Model data with awareness of the full lifecycle-from systems of record through integration layers to lakehouse and downstream consumers. Ensure models account for how data originates, flows, and is consumed across multiple systems, not just within the big data platform. Semantic Layer and AI-Ready Data: Support the development of semantic layer artifacts (curated views, conformed dimensions, governed metrics, Genie-ready configurations) that enable AI agents and self-service analytics to interpret enterprise data correctly. Partner with the Principal Data Engineer to evolve metadata practices toward richer, machine-interpretable descriptions-business definitions, relationships, and constraints. Metadata and Business Glossary: Contribute to critical data element identification, business glossary development, and data dictionary maintenance. Help explore approaches to reduce manual cataloging effort through AI-assisted tooling and programmatic metadata generation. Collaboration and Delivery: Partner with data engineers to implement models in performant ELT pipelines and denormalized views (such as Dealer Datahub patterns). Participate in design reviews, provide modeling guidance during development, and work cross-functionally with business stakeholders and analytics teams. Governance and Standards: Adhere to and help refine enterprise data modeling standards, naming conventions, and design patterns within the SDLC. Support model review processes, change management, and data quality efforts. Identify opportunities to improve modeling approaches or reduce duplication. Competencies: The following items detail how you will be successful in this role. Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements: 8+ years of experience in data modeling, data architecture, or analytics engineering roles Strong hands-on expertise in dimensional modeling (Kimball) and relational modeling (3NF) Experience modeling data across multiple source systems in cloud data platforms (Databricks or similar) Awareness of how data models serve downstream AI and analytics use cases, with willingness to deepen expertise in semantic layer design and AI-ready data structures Proficient SQL skills and experience working closely with data engineers on ELT pipelines Experience with data modeling and design tools (ER/Studio, ERwin, SqlDBM, dbt, or similar) Understanding of data governance concepts including lineage, metadata management, and data quality Strong communication skills and ability to collaborate across technical and business teams Self-directed and comfortable operating with autonomy while working within established architectural direction Experience with or exposure to semantic layers, governed metrics, or analytics modeling frameworks Preferred: Familiarity with metadata management platforms, data catalogs, or data documentation tools (e.g., Collibra, Unity Catalog) Awareness of knowledge graphs, ontologies, or formal data description frameworks (OWL, RDF)-deep expertise not required, but curiosity and willingness to learn is essential Hands-on Databricks experience including Unity Catalog, Delta Lake, and lakehouse architecture patterns Familiarity with Data Vault methodology Experience in financial services, auto lending, or regulated industries Exposure to AI-assisted tooling for metadata, documentation, or data profiling tasks Target Compensation: A competitive base salary range from $114,000 - $167,000. This position is eligible for an annual variable cash bonus, between 7.5 - 15%. Bonus amounts are based on individual performance. Final compensation within the range is influenced by many factors including role-specific skills, depth and experience level, industry background, relevant education and certifications. Candidates who reside in the following major metropolitan areas may be eligible for a premium on top of the posted range based on their specific zone: San Francisco, Seattle, Boston, New York City, Los Angeles and San Diego. INDENGLP Benefits Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work Our Company Values: To be successful in this role, Team Members need to be: Positive by maintaining resiliency and focusing on solutions Respectful by collaborating and actively listening Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions Direct by effectively communicating and conveying courage Earnest by taking accountability, applying feedback and effectively planning and priority setting Expectations: Remain compliant with our policies processes and legal guidelines All other duties as assigned Attendance as required by department Advice! We understand that your career search may look different than others. Our hiring team wants to make sure that this would be a fit not just for us, but for you long term. If you are actively looking or starting to explore new opportunities, send us your application! P.S. We have great details around our stats, success, history and more. We're proud of our culture and are happy to share why - let's talk! Required degrees must have been earned at institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent. Credit Acceptance is dedicated to providing a safe and inclusive working environment for all. As part of our Culture of Compliance, we are proud to be an Equal Opportunity Employer and value our culturally diverse workforce. All qualified applicants will receive consideration for employment regardless of the person's age, race, color, religion, sex, gender, sexual orientation, gender identity . click apply for full job details
DCS Corp has an exciting opportunity for a position providing GEOINT Systems Engineer Support - Imaging and Targeting Support (I&TS) to the Air Force Life Cycle Management Center/PEO Intelligence, Surveillance, and Reconnaissance / Special Operation Forces (ISR/SOF) Directorate (AFLCMC/WI). This position will support the AFLCMC/WIN ISR Sensors Division. Essential Job Functions: The Candidate will provide support to Imaging and Targeting Support (I&TS) including airborne ISR engineering responsibility for performing analysis and making recommendations for the Next Generation U-2 Electro-Optical/Hyperspectral Sensor. The Candidate will assist with defining system specifications, input/output processes, parameters to meet business requirements, and hardware/software compatibility. The Candidate will assist in developing and leading technical projects. The Candidate will assist with fact-finding and research as required for the project. The Candidate will assist with designing test and evaluation requirements based on research and analysis. The Candidate will assist with establishing and recommending changes to the program which affect performance and advise the Government team and management on matters concerning hardware, software, and future upgrades. The Candidate will assist with reviewing system interface documentation and technical specifications for AFLCMC/WIN. The Candidate will interface with all levels of management and personnel and provide acquisition technical and management expertise with a strong background in planning, organizing, and coordinating various types of programs. The Candidate will assist with executing engineering design on various systems to include requirements definition and design evaluation. The Candidate will assist with integrating technology with operational requirements to improve weapons system capability and supportability. The Candidate will assist with test planning, data analysis and technical reporting. The Candidate will apply the principles, criteria, and procedures of the DoD to include DoD 5000.01 and DoD 5000.02 as well as the policies and processes of USAF, HQ AFMC, AFLCMC Engineering Directorate, ISR & SOF Directorate and Division level to all AFLCMC/WIN engineering tasks. The Candidate will perform data gathering, data entry, and data analysis, as well as apply knowledge of the acquisition process. The Candidate will provide operationally relevant GEOINT engineering services to assist with technology development activities that identify, analyze, evaluate, test, and implement new capabilities for potential incorporation into the intelligence collection architecture. The Candidate will assist with integrating preplanned improvements or follow-on capabilities to candidate sensors for existing or emerging platforms and sensor data with current exploitation elements as required to execute the T&E mission, to include but not limited to the following activities: I&TS, Reduction of Data Using Compression Enhancements (RDUCE), Synthetic Aperture Radar (SAR), as well as other emerging next generation imaging sensor development programs managed by AFLCMC/WIN such as those under the High Altitude Long Range GEOINT Capabilities (HALRGC) study, Laser Radar/Light Detection and Ranging (LADAR/LIDAR) study, and Hyperspectral Imaging, and EO/IR sensor designs. Engineering services will be provided with commensurate expertise in GEOINT technology areas, DoD acquisition, and system engineering processes. The Candidate will assist in translating DoD user requirements into system requirements which will be used by the weapon system contractor to design, develop, fabricate, test, and evaluate systems, subsystems, and equipment for deployment. The Candidate will assist in performing technical/mission analyses of operational requirements, assist in developing system concepts, and perform technological/trade-off study assessments of proposed designs. The Candidate will assist in reviewing the overall system design baseline (architecture and interoperability requirements). The Candidate will assist in the areas of integrated subsystem controls, environmental control, thermal management, auxiliary and emergency power, mechanical systems, and fire/overheat protection systems. The Candidate will assist with processes for drafting project documentation, including SOOs and SOWs, program plans, schedules, and presentations. The Candidate will assist in drafting documentation required by regulations and statues, to include but not limited to the SEP and LCSP. The Candidate will assist with reviewing documents and data and providing comments. The Candidate will assist test teams in the development of test requirements and reviewing test plans. The Candidate will assist in reviewing and analyzing technical proposals or modifications for cost, design feasibility and system compatibility. The Candidate will assist in reviewing specifications, including system, system segment, and equipment specifications, and ICDs submitted by the weapon system contractor or other DoD agencies involved in the program. The Candidate will assist in supporting and conducting engineering performance, effectiveness, cost effectiveness, cost performance, life-cycle cost, producibility, maintainability, supportability, reliability, technical/schedule risk assessment, and scheduling trade-off studies. The Candidate will assist in the support and conduct of systems analyses to include system design/design feasibility and state-of-the-art assessment. The Candidate will assist in supporting the evaluation of IMP, IMS, and SEDS engineering cost estimates. The Candidate will assist in the evaluation of systems test plans (such as systems test plans/test and evaluation master plans) and participate in the conduct of system, subsystem, and component testing. The Candidate will provide systems/subsystems integration support for the acquisition, development, and verification of systems and equipment. The Candidate will assist in the development of integration plans, interface management and control plans, and integration test plans. The Candidate will assist in conducting analyses and trade studies to define interface requirements, establishing cost effective interface design solutions, and resolving interface problems. This support will include assisting in the review of ICDs, participation on appropriate ICWG activities, tracking status of ICD development and problem resolution. The Candidate will assist in review of integration test plans, procedures, and data. The Candidate will assist in special studies to define alternative interface/integration approaches. The Candidate will assist in DoD and Air Force system-of-systems acquisition engineering processes. The Candidate will assist in sensor development and integration on manned or unmanned air vehicles. The Candidate will assist in areas such as integrated subsystem controls, avionics, communications/data link integration, and electrical power integration. The Candidate will assist in producing architectures which assess the user needs, document the planned and existing systems intended to meet the needs, determine deficiencies, develop alternative solutions, and recommend a solution to meet the deficiencies. The Candidate will assist in developing a plan to implement the chosen solution. These architectures could cover a command's need, such as, GEOINT systems for an advanced aircraft, system architecture need for a multi-user GEOINT systems or GEOINT mission sub-area architectures for strategic, tactical, and support communication systems. The Candidate will assist in engineering support including defining GEOINT system and subsystem requirements, system analysis, integration, test, and evaluation activities and identifying potential related projects to GEOINT programs. The Candidate will assist in the technical and management aspects of GEOINT requirements. Required Skills: Due to the sensitivity of customer related requirements, U.S. Citizenship is required. A Master's or Doctorate Degree in a related field and at least 20 years of experience, 12 years of which must be in the DoW/DoD; Bachelor's degree and 25 years of experience in the respective technical/professional discipline being performed, 15 years of which must be in the DoW/DoD; or 30 years directly related experience, 20 years of which must be in the DoW/DoD. The candidate's Bachelor's degree in Engineering is required to be from an ABET accredited program. An adjudicated DoD Top Secret/SCI Security clearance on the First Day of employment. This is a Principal level position. The candidate must possess expert knowledge, experience, and recognized ability to be considered an industry leader in their technical / professional field. Typically performs the following kinds of functions: initiates, oversees, and/or develops requirements from a project's inception to conclusion for complex to extremely complex programs; provides strategic advice, technical guidance, and expertise to program and project staff; provides detailed analyses, evaluations, and recommendations for improvements, optimization development, and/or maintenance efforts for client-specific or mission critical challenges/issues; consults with client to define needs or problems; oversees studies; and leads surveys to collect and analyze data to provide advice and recommend solutions. Possesses the ability to perform tasks and oversee the efforts of junior, journeyman, and senior contractor personnel within and across multiple technical / professional disciplines. (Program Office, Enterprise, Staff and Executive Level Support interface).
08/04/2026
Full time
DCS Corp has an exciting opportunity for a position providing GEOINT Systems Engineer Support - Imaging and Targeting Support (I&TS) to the Air Force Life Cycle Management Center/PEO Intelligence, Surveillance, and Reconnaissance / Special Operation Forces (ISR/SOF) Directorate (AFLCMC/WI). This position will support the AFLCMC/WIN ISR Sensors Division. Essential Job Functions: The Candidate will provide support to Imaging and Targeting Support (I&TS) including airborne ISR engineering responsibility for performing analysis and making recommendations for the Next Generation U-2 Electro-Optical/Hyperspectral Sensor. The Candidate will assist with defining system specifications, input/output processes, parameters to meet business requirements, and hardware/software compatibility. The Candidate will assist in developing and leading technical projects. The Candidate will assist with fact-finding and research as required for the project. The Candidate will assist with designing test and evaluation requirements based on research and analysis. The Candidate will assist with establishing and recommending changes to the program which affect performance and advise the Government team and management on matters concerning hardware, software, and future upgrades. The Candidate will assist with reviewing system interface documentation and technical specifications for AFLCMC/WIN. The Candidate will interface with all levels of management and personnel and provide acquisition technical and management expertise with a strong background in planning, organizing, and coordinating various types of programs. The Candidate will assist with executing engineering design on various systems to include requirements definition and design evaluation. The Candidate will assist with integrating technology with operational requirements to improve weapons system capability and supportability. The Candidate will assist with test planning, data analysis and technical reporting. The Candidate will apply the principles, criteria, and procedures of the DoD to include DoD 5000.01 and DoD 5000.02 as well as the policies and processes of USAF, HQ AFMC, AFLCMC Engineering Directorate, ISR & SOF Directorate and Division level to all AFLCMC/WIN engineering tasks. The Candidate will perform data gathering, data entry, and data analysis, as well as apply knowledge of the acquisition process. The Candidate will provide operationally relevant GEOINT engineering services to assist with technology development activities that identify, analyze, evaluate, test, and implement new capabilities for potential incorporation into the intelligence collection architecture. The Candidate will assist with integrating preplanned improvements or follow-on capabilities to candidate sensors for existing or emerging platforms and sensor data with current exploitation elements as required to execute the T&E mission, to include but not limited to the following activities: I&TS, Reduction of Data Using Compression Enhancements (RDUCE), Synthetic Aperture Radar (SAR), as well as other emerging next generation imaging sensor development programs managed by AFLCMC/WIN such as those under the High Altitude Long Range GEOINT Capabilities (HALRGC) study, Laser Radar/Light Detection and Ranging (LADAR/LIDAR) study, and Hyperspectral Imaging, and EO/IR sensor designs. Engineering services will be provided with commensurate expertise in GEOINT technology areas, DoD acquisition, and system engineering processes. The Candidate will assist in translating DoD user requirements into system requirements which will be used by the weapon system contractor to design, develop, fabricate, test, and evaluate systems, subsystems, and equipment for deployment. The Candidate will assist in performing technical/mission analyses of operational requirements, assist in developing system concepts, and perform technological/trade-off study assessments of proposed designs. The Candidate will assist in reviewing the overall system design baseline (architecture and interoperability requirements). The Candidate will assist in the areas of integrated subsystem controls, environmental control, thermal management, auxiliary and emergency power, mechanical systems, and fire/overheat protection systems. The Candidate will assist with processes for drafting project documentation, including SOOs and SOWs, program plans, schedules, and presentations. The Candidate will assist in drafting documentation required by regulations and statues, to include but not limited to the SEP and LCSP. The Candidate will assist with reviewing documents and data and providing comments. The Candidate will assist test teams in the development of test requirements and reviewing test plans. The Candidate will assist in reviewing and analyzing technical proposals or modifications for cost, design feasibility and system compatibility. The Candidate will assist in reviewing specifications, including system, system segment, and equipment specifications, and ICDs submitted by the weapon system contractor or other DoD agencies involved in the program. The Candidate will assist in supporting and conducting engineering performance, effectiveness, cost effectiveness, cost performance, life-cycle cost, producibility, maintainability, supportability, reliability, technical/schedule risk assessment, and scheduling trade-off studies. The Candidate will assist in the support and conduct of systems analyses to include system design/design feasibility and state-of-the-art assessment. The Candidate will assist in supporting the evaluation of IMP, IMS, and SEDS engineering cost estimates. The Candidate will assist in the evaluation of systems test plans (such as systems test plans/test and evaluation master plans) and participate in the conduct of system, subsystem, and component testing. The Candidate will provide systems/subsystems integration support for the acquisition, development, and verification of systems and equipment. The Candidate will assist in the development of integration plans, interface management and control plans, and integration test plans. The Candidate will assist in conducting analyses and trade studies to define interface requirements, establishing cost effective interface design solutions, and resolving interface problems. This support will include assisting in the review of ICDs, participation on appropriate ICWG activities, tracking status of ICD development and problem resolution. The Candidate will assist in review of integration test plans, procedures, and data. The Candidate will assist in special studies to define alternative interface/integration approaches. The Candidate will assist in DoD and Air Force system-of-systems acquisition engineering processes. The Candidate will assist in sensor development and integration on manned or unmanned air vehicles. The Candidate will assist in areas such as integrated subsystem controls, avionics, communications/data link integration, and electrical power integration. The Candidate will assist in producing architectures which assess the user needs, document the planned and existing systems intended to meet the needs, determine deficiencies, develop alternative solutions, and recommend a solution to meet the deficiencies. The Candidate will assist in developing a plan to implement the chosen solution. These architectures could cover a command's need, such as, GEOINT systems for an advanced aircraft, system architecture need for a multi-user GEOINT systems or GEOINT mission sub-area architectures for strategic, tactical, and support communication systems. The Candidate will assist in engineering support including defining GEOINT system and subsystem requirements, system analysis, integration, test, and evaluation activities and identifying potential related projects to GEOINT programs. The Candidate will assist in the technical and management aspects of GEOINT requirements. Required Skills: Due to the sensitivity of customer related requirements, U.S. Citizenship is required. A Master's or Doctorate Degree in a related field and at least 20 years of experience, 12 years of which must be in the DoW/DoD; Bachelor's degree and 25 years of experience in the respective technical/professional discipline being performed, 15 years of which must be in the DoW/DoD; or 30 years directly related experience, 20 years of which must be in the DoW/DoD. The candidate's Bachelor's degree in Engineering is required to be from an ABET accredited program. An adjudicated DoD Top Secret/SCI Security clearance on the First Day of employment. This is a Principal level position. The candidate must possess expert knowledge, experience, and recognized ability to be considered an industry leader in their technical / professional field. Typically performs the following kinds of functions: initiates, oversees, and/or develops requirements from a project's inception to conclusion for complex to extremely complex programs; provides strategic advice, technical guidance, and expertise to program and project staff; provides detailed analyses, evaluations, and recommendations for improvements, optimization development, and/or maintenance efforts for client-specific or mission critical challenges/issues; consults with client to define needs or problems; oversees studies; and leads surveys to collect and analyze data to provide advice and recommend solutions. Possesses the ability to perform tasks and oversee the efforts of junior, journeyman, and senior contractor personnel within and across multiple technical / professional disciplines. (Program Office, Enterprise, Staff and Executive Level Support interface).
University of Kansas Health System
Liberty, Missouri
Job Description Position Title Network Engineer II Liberty Hospital Position Summary / Career Interest: The Network Engineer II is part of the network infrastructure team that is responsible for design, administration, and support for our enterprise infrastructure operations. This Engineer plans and implements local and wide-area network solutions between multiple platforms and protocols and supports/troubleshoots network issues while providing level I support. The Network Engineer II conducts short term planning to meet network requirements and network growth. Assesses network performance to ensure it meets present and future needs of the business and provides network planning and recommendations to management. This Engineer ensures the stability and integrity of The University of Kansas Hospital's enterprise data, voice, and wireless network while assisting level III engineers in the enterprise wide network development and design. Responsibilities and Essential Job Functions Designs LAN, Campus and WAN infrastructure for data, voice, and wireless services following industry standards and best practices to ensure high availability and scalability through network design principals. Assists level III's in advanced level design, development, installation, administration, and maintenance of the enterprise network. Performs as a subject matter expert (SME) providing 2nd level support for all network operations performance engineering, implementation planning, deployment support, network security and capacity related incidents. Responsible for maintaining service availability of mission critical services ensuring 24/7/365 uptime of network systems. Collaborates with other network engineers on supporting the network infrastructure design and development to ensure stability and high availability of critical medical systems. Monitors network performance and capacity utilizing network tools and system logs and proactively resolves any issues. Maintains documentation including networking diagrams and network services descriptions for the WAN and LAN network. Develop and write processes and procedures for installation and configuration of network systems or troubleshooting of network communications hardware or software. Plays a primary role mentoring level I network engineers in technical design, capacity planning, and network security. Works in a mentor role with co-workers to provide on job training for a more stable environment. Mentors level I engineers to develop their knowledge base. Demonstrates the ability to implement new technologies. Extensive hands on support of network routers, switches, and wireless controllers. Implements new approaches and shares technical improvements to the Network Manager. Displays advanced knowledge and understanding of networking protocols and technologies including IP, BGP, OSPF, EIGRP and technologies including Switching, Routing, Wireless and Security in a multi data center design and development network environment. Acts as escalation contact for level I working on complex network break/fix and/or maintenance assignments related to network access, capacity or performance. Keeps abreast and informed of current IT technologies and new trends in the industry by attending vendor training and product launch events. Ensures approved procedures, policies, and industry best practices are followed. Adheres to departmental policies and procedures. Monitors and executes in line with department change control processes. Must be able to perform the professional, clinical and or technical competencies of the assigned unit or department. These statements are intended to describe the essential functions of the job and are not intended to be an exhaustive list of all responsibilities. Skills and duties may vary dependent upon your department or unit. Other duties may be assigned as required. Required Education and Experience High School Graduate 5 or more years experience in network administration (in a multi-site organization is preferred) including hands-on experience one or more of the following: Network device configuration and management; routing protocols, data center connectivity, and network hardware installation. Preferred Education and Experience Bachelors Degree in Information Technology or related field Preferred Licensure and Certification CCNP/CCDP Cisco Certified Network Associates ITIL Foundation Time Type: Full time Job Requisition ID: R-53501 Important information for you to know as you apply: The health system is an equal employment opportunity employer. Qualified applicants are considered for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, ancestry, age, disability, veteran status, genetic information, or any other legally-protected status. See also Diversity, Equity & Inclusion. The health system provides reasonable accommodations to qualified individuals with disabilities. If you need to request reasonable accommodations for your disability as you navigate the recruitment process, please let our recruiters know by requesting an Accommodation Request form using this link . Employment with the health system is contingent upon, among other things, agreeing to the health-system-dispute-resolution-program.pdf and signing the agreement to the DRP. Need help finding the right job? We can recommend jobs specifically for you! Create a custom Job Alert by selecting criteria that suit your career interests.
08/04/2026
Full time
Job Description Position Title Network Engineer II Liberty Hospital Position Summary / Career Interest: The Network Engineer II is part of the network infrastructure team that is responsible for design, administration, and support for our enterprise infrastructure operations. This Engineer plans and implements local and wide-area network solutions between multiple platforms and protocols and supports/troubleshoots network issues while providing level I support. The Network Engineer II conducts short term planning to meet network requirements and network growth. Assesses network performance to ensure it meets present and future needs of the business and provides network planning and recommendations to management. This Engineer ensures the stability and integrity of The University of Kansas Hospital's enterprise data, voice, and wireless network while assisting level III engineers in the enterprise wide network development and design. Responsibilities and Essential Job Functions Designs LAN, Campus and WAN infrastructure for data, voice, and wireless services following industry standards and best practices to ensure high availability and scalability through network design principals. Assists level III's in advanced level design, development, installation, administration, and maintenance of the enterprise network. Performs as a subject matter expert (SME) providing 2nd level support for all network operations performance engineering, implementation planning, deployment support, network security and capacity related incidents. Responsible for maintaining service availability of mission critical services ensuring 24/7/365 uptime of network systems. Collaborates with other network engineers on supporting the network infrastructure design and development to ensure stability and high availability of critical medical systems. Monitors network performance and capacity utilizing network tools and system logs and proactively resolves any issues. Maintains documentation including networking diagrams and network services descriptions for the WAN and LAN network. Develop and write processes and procedures for installation and configuration of network systems or troubleshooting of network communications hardware or software. Plays a primary role mentoring level I network engineers in technical design, capacity planning, and network security. Works in a mentor role with co-workers to provide on job training for a more stable environment. Mentors level I engineers to develop their knowledge base. Demonstrates the ability to implement new technologies. Extensive hands on support of network routers, switches, and wireless controllers. Implements new approaches and shares technical improvements to the Network Manager. Displays advanced knowledge and understanding of networking protocols and technologies including IP, BGP, OSPF, EIGRP and technologies including Switching, Routing, Wireless and Security in a multi data center design and development network environment. Acts as escalation contact for level I working on complex network break/fix and/or maintenance assignments related to network access, capacity or performance. Keeps abreast and informed of current IT technologies and new trends in the industry by attending vendor training and product launch events. Ensures approved procedures, policies, and industry best practices are followed. Adheres to departmental policies and procedures. Monitors and executes in line with department change control processes. Must be able to perform the professional, clinical and or technical competencies of the assigned unit or department. These statements are intended to describe the essential functions of the job and are not intended to be an exhaustive list of all responsibilities. Skills and duties may vary dependent upon your department or unit. Other duties may be assigned as required. Required Education and Experience High School Graduate 5 or more years experience in network administration (in a multi-site organization is preferred) including hands-on experience one or more of the following: Network device configuration and management; routing protocols, data center connectivity, and network hardware installation. Preferred Education and Experience Bachelors Degree in Information Technology or related field Preferred Licensure and Certification CCNP/CCDP Cisco Certified Network Associates ITIL Foundation Time Type: Full time Job Requisition ID: R-53501 Important information for you to know as you apply: The health system is an equal employment opportunity employer. Qualified applicants are considered for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, ancestry, age, disability, veteran status, genetic information, or any other legally-protected status. See also Diversity, Equity & Inclusion. The health system provides reasonable accommodations to qualified individuals with disabilities. If you need to request reasonable accommodations for your disability as you navigate the recruitment process, please let our recruiters know by requesting an Accommodation Request form using this link . Employment with the health system is contingent upon, among other things, agreeing to the health-system-dispute-resolution-program.pdf and signing the agreement to the DRP. Need help finding the right job? We can recommend jobs specifically for you! Create a custom Job Alert by selecting criteria that suit your career interests.
Midwest Family Mutual Insurance Company
Urbandale, Iowa
Description: Position Summary The MFM IT team has a long history of delivering and maintaining core business systems in a mid-sized Property & Casualty insurance environment. As we expand our development team and adopt new AI development tools, we are making a deliberate investment in building this capability correctly from the start. As we begin to build agentic AI capabilities within our enterprise system, we are looking for an experienced engineer with strong knowledge of agentic AI systems to help guide this effort. The Senior Agentic AI Specialist will work closely with MFM's Principal Architect, who leads overall platform architecture, and partner with senior developers to design, implement, and improve agent-based solutions. This role will bring specialized expertise in areas where we are still developing depth, including agent orchestration, retrieval pipelines, LLM evaluation, and prompt design. This is an ongoing platform effort, not a one-time project. The work will evolve over time as we expand capabilities, integrate new tools, and improve system quality. Our core systems are built on a Microsoft/.NET stack. As we develop our agentic AI capabilities, we expect to leverage cloud-based tooling (likely within Azure) where appropriate. We are pragmatic about using the right tools for the problem, while maintaining alignment with our existing platform and operational requirements. At Midwest Family we value practical experience, clear thinking, and the ability to apply these skills in a real-world environment. Application Requirements Cover Letter and Resume: Please include the following in your cover letter A description of an AI or agent-based system you have worked on, including your role and how you evaluated quality Your approach to reducing incorrect or unsupported outputs An example of how you supported other developers or teams in adopting AI capabilities Your physical remote work location state Salary expectations Responsibilities: Platform Architecture & Evolution : Provide input into AI-related architecture decisions. Evaluate tools, models, and approaches, and make practical recommendations based on trade-offs and outcomes. Agent Lifecycle Management: Design, build, and maintain agents. Define prompts and configurations, support routing decisions, and monitor performance in production. RAG Pipeline Engineering: Improve retrieval quality by working with chunking strategies, embeddings, search methods, and metadata filtering. Support onboarding of new knowledge sources. Quality & Hallucination Reduction: Help reduce incorrect or unsupported outputs through system design, testing, and monitoring. Apply practical approaches across prompts, retrieval, and model behavior. Evaluation & Testing: Develop and maintain evaluation approaches to measure output quality, including relevance and accuracy. Support regression testing and identify failure patterns. Prompt Engineering: Create and maintain prompts for different agents. Diagnose unexpected behavior and develop reusable patterns where appropriate. Tool Integration: Support integration with internal systems and APIs. Help manage tool access and ensure reliable execution and error handling. Observability & Operations: Contribute to logging, tracing, and monitoring. Support analysis of system behavior, cost, and performance in production. Governance & Configuration: Work with configuration across agents, prompts, and models. Ensure changes are version-controlled and reviewed. Developer Support: Work with other developers to share knowledge, review designs, and establish consistent approaches. Research & Evaluation: Stay current with new models and tools. Evaluate them in a structured way and recommend adoption where appropriate. Requirements: Education & Certification College degree or Programming Certification (preferred) 5+ years of equivalent work experience Required Experience Experience building or working with AI/LLM-based systems in a production or near-production environment Strong understanding of agent-based patterns (ReAct, tool usage, etc.) Experience with retrieval-based systems (RAG), vector stores, or search pipelines Familiarity with evaluating non-deterministic system outputs Experience improving system quality through testing and iteration Strong software engineering skills required. Experience with Python, TypeScript, or C# preferred Ability to work across technologies and integrate AI solutions into an existing enterprise environment Preferred Experience Experience working with multiple LLM providers Familiarity with emerging tools and frameworks in the agentic AI space Experience integrating with enterprise systems and data sources Experience mentoring or supporting other developers Personal Attributes Strategic thinker with strong analytical and problem-solving skills Technically proficient with broad systems knowledge Excellent interpersonal, written, and verbal communication skills Self-directed, collaborative, and highly organized Customer-oriented and able to navigate high-pressure environments Flexible and adaptable in regards to learning and understanding new technologies. Exceptional organizational skills and ability to keep track of multiple projects at a time. Ability to conduct research into software-related issues and products. Technically proficient. Exceptional attention to detail. Ability to work both independently and in a team-oriented, collaborative environment. Work Conditions Remote work environment following core hours 8AM-5PM Central Time Overtime may be required to meet project deadlines or monitor system processes. Sitting for extended periods of time. Dexterity of hands and fingers to operate a computer keyboard, mouse, and other devices. Minimal travel will be required for the purpose of off-site software training and team meetings. Physically able to participate in virtual and in-person training sessions, presentations, and meetings. PI0ef29b31cccb-4236
08/03/2026
Full time
Description: Position Summary The MFM IT team has a long history of delivering and maintaining core business systems in a mid-sized Property & Casualty insurance environment. As we expand our development team and adopt new AI development tools, we are making a deliberate investment in building this capability correctly from the start. As we begin to build agentic AI capabilities within our enterprise system, we are looking for an experienced engineer with strong knowledge of agentic AI systems to help guide this effort. The Senior Agentic AI Specialist will work closely with MFM's Principal Architect, who leads overall platform architecture, and partner with senior developers to design, implement, and improve agent-based solutions. This role will bring specialized expertise in areas where we are still developing depth, including agent orchestration, retrieval pipelines, LLM evaluation, and prompt design. This is an ongoing platform effort, not a one-time project. The work will evolve over time as we expand capabilities, integrate new tools, and improve system quality. Our core systems are built on a Microsoft/.NET stack. As we develop our agentic AI capabilities, we expect to leverage cloud-based tooling (likely within Azure) where appropriate. We are pragmatic about using the right tools for the problem, while maintaining alignment with our existing platform and operational requirements. At Midwest Family we value practical experience, clear thinking, and the ability to apply these skills in a real-world environment. Application Requirements Cover Letter and Resume: Please include the following in your cover letter A description of an AI or agent-based system you have worked on, including your role and how you evaluated quality Your approach to reducing incorrect or unsupported outputs An example of how you supported other developers or teams in adopting AI capabilities Your physical remote work location state Salary expectations Responsibilities: Platform Architecture & Evolution : Provide input into AI-related architecture decisions. Evaluate tools, models, and approaches, and make practical recommendations based on trade-offs and outcomes. Agent Lifecycle Management: Design, build, and maintain agents. Define prompts and configurations, support routing decisions, and monitor performance in production. RAG Pipeline Engineering: Improve retrieval quality by working with chunking strategies, embeddings, search methods, and metadata filtering. Support onboarding of new knowledge sources. Quality & Hallucination Reduction: Help reduce incorrect or unsupported outputs through system design, testing, and monitoring. Apply practical approaches across prompts, retrieval, and model behavior. Evaluation & Testing: Develop and maintain evaluation approaches to measure output quality, including relevance and accuracy. Support regression testing and identify failure patterns. Prompt Engineering: Create and maintain prompts for different agents. Diagnose unexpected behavior and develop reusable patterns where appropriate. Tool Integration: Support integration with internal systems and APIs. Help manage tool access and ensure reliable execution and error handling. Observability & Operations: Contribute to logging, tracing, and monitoring. Support analysis of system behavior, cost, and performance in production. Governance & Configuration: Work with configuration across agents, prompts, and models. Ensure changes are version-controlled and reviewed. Developer Support: Work with other developers to share knowledge, review designs, and establish consistent approaches. Research & Evaluation: Stay current with new models and tools. Evaluate them in a structured way and recommend adoption where appropriate. Requirements: Education & Certification College degree or Programming Certification (preferred) 5+ years of equivalent work experience Required Experience Experience building or working with AI/LLM-based systems in a production or near-production environment Strong understanding of agent-based patterns (ReAct, tool usage, etc.) Experience with retrieval-based systems (RAG), vector stores, or search pipelines Familiarity with evaluating non-deterministic system outputs Experience improving system quality through testing and iteration Strong software engineering skills required. Experience with Python, TypeScript, or C# preferred Ability to work across technologies and integrate AI solutions into an existing enterprise environment Preferred Experience Experience working with multiple LLM providers Familiarity with emerging tools and frameworks in the agentic AI space Experience integrating with enterprise systems and data sources Experience mentoring or supporting other developers Personal Attributes Strategic thinker with strong analytical and problem-solving skills Technically proficient with broad systems knowledge Excellent interpersonal, written, and verbal communication skills Self-directed, collaborative, and highly organized Customer-oriented and able to navigate high-pressure environments Flexible and adaptable in regards to learning and understanding new technologies. Exceptional organizational skills and ability to keep track of multiple projects at a time. Ability to conduct research into software-related issues and products. Technically proficient. Exceptional attention to detail. Ability to work both independently and in a team-oriented, collaborative environment. Work Conditions Remote work environment following core hours 8AM-5PM Central Time Overtime may be required to meet project deadlines or monitor system processes. Sitting for extended periods of time. Dexterity of hands and fingers to operate a computer keyboard, mouse, and other devices. Minimal travel will be required for the purpose of off-site software training and team meetings. Physically able to participate in virtual and in-person training sessions, presentations, and meetings. PI0ef29b31cccb-4236
Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation . click apply for full job details
08/03/2026
Full time
Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation . click apply for full job details
Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Why this Role Matters: We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production grade applications used by millions of users across multiple lines of businesses. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders K8s mastery (multi-region clusters, sericie mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. . click apply for full job details
08/03/2026
Full time
Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Why this Role Matters: We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production grade applications used by millions of users across multiple lines of businesses. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders K8s mastery (multi-region clusters, sericie mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. . click apply for full job details
Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Why this Role Matters: We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production grade applications used by millions of users across multiple lines of businesses. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders K8s mastery (multi-region clusters, sericie mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. . click apply for full job details
08/03/2026
Full time
Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Why this Role Matters: We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production grade applications used by millions of users across multiple lines of businesses. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders K8s mastery (multi-region clusters, sericie mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. . click apply for full job details
Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation . click apply for full job details
08/03/2026
Full time
Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation . click apply for full job details
